[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp

1. 25. Neural Nets and Deep Learning/31. Tensorboard.mp4144.18 MB
2. 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4143.63 MB
3. 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4136.96 MB
4. 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4124.94 MB
5. 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt111.35 MB
6. 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4111.33 MB
7. 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp496.82 MB
8. 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp485.38 MB
9. 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp484.31 MB
10. 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp482.72 MB
11. 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp480.54 MB
12. 2. Environment Set-Up/1. Python Environment Setup.mp476.36 MB
13. 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp476.21 MB
14. 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp475.99 MB
15. 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp468.93 MB
16. 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp464.78 MB
17. 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp463.12 MB
18. 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp462.98 MB
19. 25. Neural Nets and Deep Learning/8. Activation Functions.mp462.59 MB
20. 26. Big Data and Spark with Python/9. PySpark Setup.mp460.39 MB
21. 25. Neural Nets and Deep Learning/11. Backpropagation.mp457.96 MB
22. 25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.mp456.22 MB
23. 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp455.68 MB
24. 18. K Nearest Neighbors/4. KNN Project Solutions.mp452.66 MB
25. 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip52.5 MB
26. 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip52.49 MB
27. 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip52.49 MB
28. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp451.41 MB
29. 11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.mp451.16 MB
30. 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.mp450.35 MB
31. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp449.79 MB
32. 24. Natural Language Processing/6. NLP Project Solutions.mp448.06 MB
33. 25. Neural Nets and Deep Learning/6. Perceptron Model.mp448.01 MB
34. 20. Support Vector Machines/2. Support Vector Machines with Python.mp447.46 MB
35. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp447.27 MB
36. 21. K Means Clustering/4. K Means Project Solutions.mp447.12 MB
37. 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp447 MB
38. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp446.16 MB
39. 25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.mp446.06 MB
40. 18. K Nearest Neighbors/2. KNN with Python.mp445.96 MB
41. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp445.72 MB
42. 15. Linear Regression/6. Linear Regression Project Solution.mp445.39 MB
43. 15. Linear Regression/3. Linear Regression with Python - Part 1.mp443.32 MB
44. 22. Principal Component Analysis/2. PCA with Python.mp443.25 MB
45. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp443.08 MB
46. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp442.7 MB
47. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp442.02 MB
48. 24. Natural Language Processing/3. NLP with Python - Part 2.mp441.92 MB
49. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp441.42 MB
50. 24. Natural Language Processing/2. NLP with Python - Part 1.mp440.16 MB