udemy data science -移花宫 -武林禁地，闲人禁止入内

[ DevCourseWeb.com ] Udemy - Climate Change Economics Using Data Science

~Get Your Files Here !/3 - Tracking the carbon emissions intensity/6 - Drawing Emissions Intensity Plots across Europe spanning 2 decades.mp4 278.7 MB
~Get Your Files Here !/5 - Tracking the share of Renewables in the electricity generation mix/9 - Generation mix Application South Asia.mp4 206.2 MB
~Get Your Files Here !/4 - Tracking the progress of electricity access/8 - Electricity Access Application South Asia.mp4 203.6 MB
~Get Your Files Here !/1 - Evaluating LowCarbon Actions that Reduce Greenhouse Gas GHG Emissions/2 - Drawing the Marginal Abatement Cost Curve on Python.mp4 137.4 MB
~Get Your Files Here !/2 - ClimateChange Immigration Analysis/4 - Immigration analysis.mp4 100.2 MB
~Get Your Files Here !/1 - Evaluating LowCarbon Actions that Reduce Greenhouse Gas GHG Emissions/1 - Marginal Abatement Cost and Mitigation Potential theory.mp4 93.8 MB
~Get Your Files Here !/1 - Evaluating LowCarbon Actions that Reduce Greenhouse Gas GHG Emissions/3 - Interpreting the Marginal Abatement Cost Curve and Cost Derivation process.mp4 62.9 MB
~Get Your Files Here !/3 - Tracking the carbon emissions intensity/7 - Interpretation of the plots that we produced.mp4 43.6 MB
~Get Your Files Here !/3 - Tracking the carbon emissions intensity/5 - Theory.mp4 32.3 MB
~Get Your Files Here !/1 - Evaluating LowCarbon Actions that Reduce Greenhouse Gas GHG Emissions/2 - mac-curve.jpeg 384.9 kB
~Get Your Files Here !/1 - Evaluating LowCarbon Actions that Reduce Greenhouse Gas GHG Emissions/3 - Abatement-v3.ipynb 312.5 kB
~Get Your Files Here !/1 - Evaluating LowCarbon Actions that Reduce Greenhouse Gas GHG Emissions/2 - Abatement-v2.ipynb 310.9 kB
~Get Your Files Here !/1 - Evaluating LowCarbon Actions that Reduce Greenhouse Gas GHG Emissions/1 - Abatement.ipynb 23.5 kB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes
~Get Your Files Here !/2 - ClimateChange Immigration Analysis/4 - Link.txt 173 Bytes
~Get Your Files Here !/5 - Tracking the share of Renewables in the electricity generation mix/9 - Link.txt 42 Bytes
~Get Your Files Here !/3 - Tracking the carbon emissions intensity/5 - Link.txt 27 Bytes

[磁力链接] 添加时间:2024-04-24 大小:1.2 GB 最近下载:2025-08-19 热度:1247

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

[磁力链接] 添加时间:2021-04-27 大小:20.6 GB 最近下载:2025-08-24 热度:1243

[GigaCourse.Com] Udemy - Master Data Science with Python in 10 Hours 2021

5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.mp4 231.0 MB
7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.mp4 171.4 MB
5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.mp4 114.5 MB
5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.mp4 100.0 MB
6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.mp4 98.4 MB
3. Python Basics/12. Solutions I - Python Solutions.mp4 94.2 MB
4. A Faster Alternative Numpy/2. Numpy Arrays.mp4 94.2 MB
5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 92.7 MB
3. Python Basics/10. Functions - Part II.mp4 92.4 MB
5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.mp4 90.2 MB
5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.mp4 87.0 MB
6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.mp4 81.8 MB
4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.mp4 80.9 MB
5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.mp4 76.3 MB
5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.mp4 73.2 MB
6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.mp4 72.7 MB
4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.mp4 72.0 MB
7. Visualization II - Seaborn/7. Seaborn Grid Plots.mp4 71.4 MB
3. Python Basics/9. Functions - Part I.mp4 70.7 MB
7. Visualization II - Seaborn/3. Seaborn Distribution Plots.mp4 69.8 MB

[磁力链接] 添加时间:2022-02-19 大小:3.5 GB 最近下载:2025-07-08 热度:1242

[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB

[磁力链接] 添加时间:2021-03-11 大小:8.2 GB 最近下载:2025-08-21 热度:1238

[FreeTutorials.Eu] Udemy - TABLEAU 2018 Hands-On Tableau Training For Data Science!

7. Advanced Data Preparation/3. Data Interpreter.mp4 160.5 MB
4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 115.3 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/6. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 113.0 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 111.6 MB
8. Clusters, custom territories, design features/7. Modeling With Clusters.mp4 111.5 MB
6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 107.2 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 103.7 MB
8. Clusters, custom territories, design features/2. Custom Territories Via Groups.mp4 103.5 MB
4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 102.7 MB
8. Clusters, custom territories, design features/1. The Challenge Startup Expansion Analytics.mp4 98.4 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/5. Data Blending in Tableau.mp4 96.8 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 93.0 MB
4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 92.2 MB
3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 90.4 MB
9. What's new in Tableau 2018/5. Joining to Spatial Files.mp4 87.5 MB
9. What's new in Tableau 2018/8. Viz in Tolltip.mp4 86.5 MB
9. What's new in Tableau 2018/3. Connecting to PDF.mp4 84.1 MB
4. Maps, Scatterplots, and Your First Dashboard/6. Adding an Interactive Action - Filter.mp4 81.6 MB
6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard.mp4 77.0 MB
3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 76.8 MB

[磁力链接] 添加时间:2021-03-19 大小:4.3 GB 最近下载:2025-07-10 热度:1226

Udemy - Statistics for Data Science and Business Analysis [720p - WEB HD - H264 - AAC]

17 Practical example_ regression analysis/087 Practical example_ regression analysis.mp4 44.5 MB
05 Practical example_ descriptive statistics/025 Practical example.mp4 43.3 MB
09 Practical example_ inferential statistics/049 Practical example_ inferential statistics.mp4 26.5 MB
12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing.mp4 20.9 MB
01 Introduction/001 What does the course cover_.mp4 13.3 MB
07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance.mp4 13.1 MB
14 Subtleties of regression analysis/078 Adjusted R-squared.mp4 12.5 MB
08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples.mp4 12.0 MB
15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity.mp4 11.9 MB
02 Sample or population data_/002 Understanding the difference between a population and a sample.mp4 11.9 MB
03 The fundamentals of descriptive statistics/003 The various types of data we can work with.mp4 11.5 MB
04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation.mp4 11.3 MB
11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known.mp4 11.2 MB
07 Estimators and estimates/038 Student's T distribution.mp4 10.7 MB
07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_.mp4 10.7 MB
04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode.mp4 10.5 MB
13 The fundamentals of regression analysis/068 The linear regression model made easy.mp4 10.0 MB
15 Assumptions for linear regression analysis/082 A2_ No endogeneity.mp4 9.9 MB
10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis.mp4 9.8 MB
06 Distributions/032 Understanding the central limit theorem.mp4 9.6 MB

[磁力链接] 添加时间:2021-04-26 大小:581.8 MB 最近下载:2025-08-22 热度:1220

[ FreeCourseWeb.com ] Udemy - PySpark for Data Science - Intermediate

~Get Your Files Here !/2. Regression/6. Forest Regration.mp4 118.1 MB
~Get Your Files Here !/2. Regression/5. Generalised Linear Regression.mp4 116.8 MB
~Get Your Files Here !/3. Classification/5. Multinomial Logistic Regression.mp4 101.7 MB
~Get Your Files Here !/3. Classification/3. Binomial Logistic Regression Part 3.mp4 100.0 MB
~Get Your Files Here !/3. Classification/1. Binomial Logistic Regression Part 1.mp4 93.3 MB
~Get Your Files Here !/3. Classification/4. Binomial Logistic Regression Part 4.mp4 92.1 MB
~Get Your Files Here !/2. Regression/1. Liner Regration.mp4 84.9 MB
~Get Your Files Here !/4. Clustering/1. K-Means Model.mp4 84.5 MB
~Get Your Files Here !/2. Regression/4. Prediction.mp4 78.9 MB
~Get Your Files Here !/3. Classification/8. Random Forest.mp4 73.5 MB
~Get Your Files Here !/3. Classification/6. Multinomial Logistic Regression Continue.mp4 71.9 MB
~Get Your Files Here !/3. Classification/7. Decision Tree.mp4 70.6 MB
~Get Your Files Here !/3. Classification/2. Binomial Logistic Regression Part 2.mp4 68.7 MB
~Get Your Files Here !/2. Regression/2. Output Colomn.mp4 60.1 MB
~Get Your Files Here !/2. Regression/3. Test Data.mp4 53.0 MB
~Get Your Files Here !/1. Introduction/1. Introduction to Pyspark Intermediate.mp4 19.2 MB
~Get Your Files Here !/2. Regression/5. Generalised Linear Regression.srt 13.3 kB
~Get Your Files Here !/2. Regression/6. Forest Regration.srt 12.6 kB
~Get Your Files Here !/3. Classification/5. Multinomial Logistic Regression.srt 8.4 kB
~Get Your Files Here !/2. Regression/1. Liner Regration.srt 8.4 kB

[磁力链接] 添加时间:2022-04-20 大小:1.3 GB 最近下载:2025-08-24 热度:1220

[DesireCourse.Net] Udemy - Intro to Data Science Your Step-by-Step Guide To Starting

2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/2. The 6-Week Data Scientist.mp4 250.2 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/13. Artificial Intelligence.mp4 235.4 MB
6. Section 5 -------------------- Course Conclusion --------------------/1. Course Conclusion.mp4 224.7 MB
4. Section 3 -------------------- Data Science with Python --------------------/9. Python - Step 9.mp4 190.1 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/5. Visualization.mp4 173.8 MB
4. Section 3 -------------------- Data Science with Python --------------------/6. Python - Step 6.mp4 169.9 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/11. Deep Learning and Computer Vision.mp4 169.8 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/10. Deep Learning.mp4 161.4 MB
5. Section 4 -------------------- Data Science with the Cloud --------------------/3. Cloud - Step 3.mp4 154.0 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/12. Deep Learning and NLP.mp4 153.3 MB
3. Section 2 -------------------- Data Science with Tableau --------------------/2. Intro to Tableau - Step 2.mp4 143.7 MB
4. Section 3 -------------------- Data Science with Python --------------------/10. Python - Step 10.mp4 143.6 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/9. Machine Learning.srt 135.1 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/9. Machine Learning.mp4 135.0 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/4. The Data Science Process.mp4 132.8 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/3. Statistics.mp4 129.1 MB
2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/7. Databases.mp4 125.9 MB
5. Section 4 -------------------- Data Science with the Cloud --------------------/2. Cloud - Step 2.mp4 124.1 MB
3. Section 2 -------------------- Data Science with Tableau --------------------/3. Intro to Tableau - Step 3.mp4 122.2 MB
5. Section 4 -------------------- Data Science with the Cloud --------------------/1. Cloud - Step 1.mp4 117.5 MB

[磁力链接] 添加时间:2022-02-10 大小:4.5 GB 最近下载:2025-08-23 热度:1214

Udemy - Complete Machine Learning and Data Science Zero to Mastery

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
17. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB

[磁力链接] 添加时间:2021-04-12 大小:14.2 GB 最近下载:2025-07-03 热度:1210

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science with Python A-Z

4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB

[磁力链接] 添加时间:2022-02-18 大小:3.3 GB 最近下载:2025-08-22 热度:1204

[FreeCourseLab.com] Udemy - R Programming Advanced Analytics In R For Data Science

2. Data Preparation/3. Updates on Udemy Reviews.mp4 61.2 MB
3. Lists in R/2. Project Brief Machine Utilization.mp4 55.7 MB
2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4 51.3 MB
2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4 50.8 MB
2. Data Preparation/9. Dealing with Missing Data.mp4 44.7 MB
2. Data Preparation/15. Reseting the dataframe index.mp4 41.1 MB
4. Apply Family of Functions/7. Using lapply().mp4 40.6 MB
3. Lists in R/4. Handling Date-Times in R.mp4 40.5 MB
3. Lists in R/10. Creating A Timeseries Plot.mp4 40.1 MB
3. Lists in R/5. What is a List.mp4 37.7 MB
4. Apply Family of Functions/10. Using sapply().mp4 36.6 MB
2. Data Preparation/8. gsub() and sub().mp4 34.7 MB
3. Lists in R/8. Adding and deleting components.mp4 34.1 MB
4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4 34.0 MB
2. Data Preparation/21. Visualizing results.mp4 33.4 MB
2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4 31.5 MB
2. Data Preparation/5. What are Factors (Refresher).mp4 30.7 MB
1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4 30.5 MB
4. Apply Family of Functions/3. Import Data into R.mp4 29.4 MB
4. Apply Family of Functions/9. Adding your own functions.mp4 29.4 MB

[磁力链接] 添加时间:2021-03-22 大小:1.3 GB 最近下载:2025-08-15 热度:1201

[FreeCourseWorld.Com] Udemy - R Programming Advanced Analytics In R For Data Science

02 Data Preparation/020 Replacing Missing Data Median Imputation Method (Part 1).mp4 65.0 MB
03 Lists in R/027 Project Brief Machine Utilization.mp4 64.8 MB
02 Data Preparation/006 Updates on Udemy Reviews.mp4 61.2 MB
02 Data Preparation/014 An Elegant Way To Locate Missing Data.mp4 59.8 MB
04 Apply Family of Functions/050 THANK YOU bonus video.mp4 54.8 MB
03 Lists in R/029 Handling Date-Times in R.mp4 52.5 MB
04 Apply Family of Functions/037 Welcome to this section. This is what you will learn.mp4 51.9 MB
04 Apply Family of Functions/043 Using lapply().mp4 51.0 MB
02 Data Preparation/004 Welcome to this section. This is what you will learn.mp4 50.1 MB
01 Welcome To The Course/001 Welcome to the Advanced R Programming Course.mp4 48.4 MB
03 Lists in R/035 Creating A Timeseries Plot.mp4 48.1 MB
02 Data Preparation/012 Dealing with Missing Data.mp4 47.8 MB
03 Lists in R/030 R programming What is a List.mp4 46.9 MB
02 Data Preparation/011 gsub() and sub().mp4 46.1 MB
02 Data Preparation/018 Reseting the dataframe index.mp4 46.0 MB
04 Apply Family of Functions/046 Using sapply().mp4 45.7 MB
04 Apply Family of Functions/048 which.max() and which.min() (advanced topic).mp4 42.4 MB
02 Data Preparation/024 Visualizing results.mp4 42.0 MB
03 Lists in R/033 Adding and deleting components.mp4 40.3 MB
02 Data Preparation/008 What are Factors (Refresher).mp4 39.4 MB

[磁力链接] 添加时间:2021-03-18 大小:1.7 GB 最近下载:2025-08-14 热度:1199

[DesireCourse.Net] Udemy - Statistics for Business Analytics and Data Science A-Z™

3. Central Limit Theorem/8. Hands-On CLT - Analytics Challenge.mp4 189.6 MB
5. Advanced Hypothesis Testing/6. Warning about misuse and overuse of p-values.mp4 55.2 MB
5. Advanced Hypothesis Testing/9. THANK YOU bonus video.mp4 54.8 MB
2. Distributions/10. Homework Solution - Part 1.mp4 54.0 MB
2. Distributions/11. Homework Solution - Part 2.mp4 52.4 MB
5. Advanced Hypothesis Testing/3. T-Tests.mp4 51.9 MB
2. Distributions/2. Updates on Udemy Reviews.mp4 51.3 MB
3. Central Limit Theorem/10. Homework Solution.mp4 45.9 MB
4. Hypothesis Testing Statistical Significance/6. Proportion Testing.mp4 41.6 MB
5. Advanced Hypothesis Testing/5. 2-Tailed Test Exercise.mp4 40.2 MB
4. Hypothesis Testing Statistical Significance/2. Hypothesis Testing - Steps.mp4 38.0 MB
6. Vitaly Dolgov's Guest Section/6. Trends in Analytics - Part 2.mp4 36.0 MB
5. Advanced Hypothesis Testing/1. What it means when you cannot reject the Null Hypothesis.mp4 34.9 MB
4. Hypothesis Testing Statistical Significance/8. Homework Solution.mp4 33.4 MB
5. Advanced Hypothesis Testing/7. Real Life Example.mp4 31.9 MB
2. Distributions/4. What is a Distribution.mp4 27.6 MB
4. Hypothesis Testing Statistical Significance/4. Hypothesis Testing - Rejection Region.mp4 25.9 MB
3. Central Limit Theorem/7. Z-Score.mp4 25.8 MB
2. Distributions/5. What is Standard Deviation.srt 25.7 MB
2. Distributions/5. What is Standard Deviation.mp4 25.6 MB

[磁力链接] 添加时间:2021-04-09 大小:1.3 GB 最近下载:2025-08-17 热度:1197

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB

[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-08-20 热度:1191

[GigaCourse.Com] Udemy - Diploma in Python with Data Science and Machine Learning

12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
17. CSS/8. Web Development CSS 8.mp4 157.4 MB
12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
17. CSS/9. Web Development CSS 9.mp4 140.1 MB
13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
17. CSS/7. Web Development CSS 7.mp4 133.7 MB
13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB

[磁力链接] 添加时间:2024-05-16 大小:13.8 GB 最近下载:2025-08-25 热度:1186

[FreeCourseSite.com] Udemy - Python for Data Science & Machine Learning from A-Z

19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB

[磁力链接] 添加时间:2022-01-13 大小:7.9 GB 最近下载:2025-08-06 热度:1182

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

[磁力链接] 添加时间:2021-04-04 大小:18.4 GB 最近下载:2025-07-27 热度:1179

Udemy - R for Data Science- Learn Data Manipulation With R

10. Data Transformation in R/3. Filtering Rows with Filter Function.mp4 207.7 MB
10. Data Transformation in R/6. Grouped Summaries with Summarize Function.mp4 187.5 MB
8. Data Frames/3. Manipulating Values in DF.mp4 176.2 MB
3. Data Management in R/3. Graphs and Charts.mp4 170.5 MB
9. Factors/2. Manipulating Categorical Data with Forcats.mp4 161.6 MB
10. Data Transformation in R/4. Arranging Rows with Arrange Function.mp4 152.6 MB
8. Data Frames/5. Tibbles in R.mp4 106.0 MB
10. Data Transformation in R/1. Introduction to Data Transformation.mp4 92.3 MB
6. Arrays/2. Subsections of an Array.mp4 89.9 MB
8. Data Frames/1. Introduction to Data Frames.mp4 87.3 MB
10. Data Transformation in R/5. Adding New Variables with Mutate Function.mp4 78.2 MB
10. Data Transformation in R/2. Select Columns with Select Function.mp4 75.9 MB
7. Matrices/3. Calculating With Matrices.mp4 75.8 MB
3. Data Management in R/2. Data Manipulation.mp4 69.5 MB
7. Matrices/1. Matrices.mp4 63.2 MB
7. Matrices/2. Naming Matrix Row and Columns.mp4 61.5 MB
4. Examining and Managing Data Structures in R/7. Subsetting Vectors.mp4 60.4 MB
5. Lists/1. Lists.mp4 55.9 MB
8. Data Frames/4. Adding and Removing Variables.mp4 51.1 MB
4. Examining and Managing Data Structures in R/1. Vector Basics.mp4 51.1 MB

[磁力链接] 添加时间:2021-03-20 大小:2.5 GB 最近下载:2025-08-24 热度:1167

[FreeCourseSite.com] Udemy - Master SQL For Data Science

10. Window Functions for Analytics/5. Working with Rollups and Cubes.mp4 117.4 MB
10. Window Functions for Analytics/3. RANK, FIRST_VALUE and NTILE Functions.mp4 116.6 MB
9. Working with Multiple Tables/6. Creating Views vs. Inline Views.mp4 84.3 MB
2. Database Basics/4. Install Postgres on Windows.mp4 75.1 MB
10. Window Functions for Analytics/4. LEAD and LAG Functions.mp4 66.2 MB
1. Chapter 1/1. Course Overview.mp4 55.4 MB
2. Database Basics/5. Create Table and Insert Statements.mp4 45.4 MB
9. Working with Multiple Tables/2. INNER and OUTER Joins + [EXERCISES].mp4 42.7 MB
3. SQL Query Basics/2. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
2. Database Basics/7. Prepare the Database.mp4 41.9 MB
10. Window Functions for Analytics/2. Ordering Data in Window Frames.mp4 36.5 MB
7. Using the CASE Clause in Interesting Ways/1. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
6. Using Subqueries/4. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
3. SQL Query Basics/1. Introducing the SELECT Statement.mp4 34.4 MB
8. Advanced Query Techniques using Correlated Subqueries/1. Understanding Correlated Subqueries.mp4 33.6 MB
7. Using the CASE Clause in Interesting Ways/2. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
3. SQL Query Basics/3. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
10. Window Functions for Analytics/1. Window Functions using the OVER() Clause.mp4 31.3 MB
6. Using Subqueries/3. Subqueries Continued + [EXERCISES].mp4 31.2 MB
9. Working with Multiple Tables/5. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB

[磁力链接] 添加时间:2021-04-01 大小:1.4 GB 最近下载:2025-05-16 热度:1162

[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.9 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.7 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 207.1 MB
25. Working with people/6. The art of saying No.mp4 205.9 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4 196.0 MB
25. Working with people/8. Building a data culture.mp4 194.2 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 188.3 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 181.9 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4 176.9 MB

[磁力链接] 添加时间:2021-03-09 大小:15.9 GB 最近下载:2025-08-13 热度:1157