Udemy - Complete Machine Learning and Data Science With Python M...

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 - What is Data Science English.vtt (7.7 KB)
• 1 - What is Data Science.mp4 (34.7 MB)
• 2 - Describe Artificial Intelligence and Machine Learning and Deep Learning English.vtt (4.4 KB)
• 2 - Describe Artificial Intelligence and Machine Learning and Deep Learning.mp4 (20.8 MB)
• 3 - Concept of Machine Learning English.vtt (10.2 KB)
• 3 - Concept of Machine Learning.mp4 (44.6 MB)
10 - Project Customer Segmentation using Clustering
• 58 - Customer Segmentation Part 1 English.vtt (6.0 KB)
• 58 - Customer Segmentation Part 1.mp4 (23.1 MB)
• 59 - Bank-Customer-Segmentation.ipynb (1.2 MB)
• 59 - Customer Segmentation Part 2 English.vtt (15.3 KB)
• 59 - Customer Segmentation Part 2.mp4 (102.2 MB)
• 60 - Customer segmentation 3 English.vtt (15.7 KB)
• 60 - Customer segmentation 3.mp4 (105.5 MB)
• 61 - Customer Segmentation Part 4 English.vtt (11.7 KB)
• 61 - Customer Segmentation Part 4.mp4 (84.5 MB)
11 - Project Fake News Detection using machine learning Python
• 62 - Fake News Detection using machine learning Python English.vtt (9.2 KB)
• 62 - Fake News Detection using machine learning Python.mp4 (35.1 MB)
12 - Project COVID19 Coronavirus Infection Probability using machine learning
• 63 - Project COVID19 Coronavirus Infection Probability using machine learning English.vtt (10.2 KB)
• 63 - Project COVID19 Coronavirus Infection Probability using machine learning.mp4 (44.8 MB)
13 - Miscellaneous
• 64 - Underfitting Overfitting and best fitting in Machine Learning English.vtt (7.6 KB)
• 64 - Underfitting Overfitting and best fitting in Machine Learning.mp4 (48.8 MB)
• 65 - How to avoid Overfitting in Machine Learning English.vtt (8.1 KB)
• 65 - How to avoid Overfitting in Machine Learning.mp4 (47.4 MB)
• 66 - Applications of Artificial Intelligence English.vtt (15.0 KB)
• 66 - Applications of Artificial Intelligence.mp4 (73.5 MB)
• 67 - Teachable Machine English.vtt (12.8 KB)
• 67 - Teachable Machine.mp4 (37.6 MB)
14 - Python Crash Course
• 68 - Python Basic Introduction English.vtt (9.2 KB)
• 68 - Python Basic Introduction.mp4 (41.2 MB)
• 69 - Getting Started with Python English.vtt (14.3 KB)
• 69 - Getting Started with Python.mp4 (42.3 MB)
• 70 - Python Data TypesNumbers English.vtt (6.8 KB)
• 70 - Python Data TypesNumbers.mp4 (22.3 MB)
• 71 - Python Data TypesStrings English.vtt (10.3 KB)
• 71 - Python Data TypesStrings.mp4 (26.4 MB)
• 72 - Python Data TypesLists English.vtt (11.1 KB)
• 72 - Python Data TypesLists.mp4 (31.6 MB)
• 73 - Python Data Types Dictionary English.vtt (9.6 KB)
• 73 - Python Data Types Dictionary.mp4 (23.2 MB)
• 74 - Python Data Types Sets English.vtt (12.9 KB)
• 74 - Python Data Types Sets.mp4 (38.8 MB)
• 75 - Python Loops English.vtt (13.5 KB)
• 75 - Python Loops.mp4 (41.7 MB)
• 76 - Decision Making English.vtt (14.0 KB)
• 76 - Decision Making.mp4 (44.0 MB)
• 77 - Control Statements English.vtt (14.9 KB)
• 77 - Control Statements.mp4 (42.8 MB)
• 78 - Python Functions English.vtt (20.3 KB)
• 78 - Python Functions.mp4 (86.0 MB)
2 - Installation and Colab
• 4 - Google Colab Introduction English.vtt (5.5 KB)
• 4 - Google Colab Introduction.mp4 (13.1 MB)
• 5 - Anaconda Installation English.vtt (7.3 KB)
• 5 - Anaconda Installation.mp4 (33.8 MB)
• 6 - Jupyter Notebook English.vtt (4.6 KB)
• 6 - Jupyter Notebook.mp4 (14.0 MB)
3 - Python for Data Analysis Numpy
• 7 - Python for Data Analysis Numpy English.vtt (16.3 KB)
• 7 - Python for Data Analysis Numpy.mp4 (65.3 MB)
• 8 - linear algebra for data science English.vtt (12.5 KB)
• 8 - linear algebra for data science.mp4 (48.3 MB)
4 - Python for Data Analysis Pandas
• 10 - Pandas DataFrames English.vtt (10.4 KB)
• 10 - Pandas DataFrames.mp4 (44.5 MB)
• 11 - Grouping and Filtering English.vtt (8.4 KB)
• 11 - Grouping and Filtering.mp4 (35.4 MB)
• 12 - Slicing and Sorting English.vtt (6.9 KB)
• 12 - Slicing and Sorting.mp4 (26.9 MB)
• 13 - Pandas Missing Values English.vtt (10.5 KB)
• 13 - Pandas Missing Values.mp4 (47.8 MB)
• 13 - pandas-flightsexample.ipynb (60.9 KB)
• 14 - Pandas Aggregation Functions English.vtt (7.3 KB)
• 14 - Pandas Aggregation Functions.mp4 (29.5 MB)
• 14 - pandas-aggregate.ipynb (20.0 KB)
• 9 - Pandas Series English.vtt (14.3 KB)
• 9 - Pandas Series.mp4 (49.4 MB)
• 9 - pandas-series.ipynb (46.4 KB)
5 - Python for Data Visualization Matplotlib
• 15 - Matplotlib Introduction English.vtt (12.1 KB)
• 15 - Matplotlib Introduction.mp4 (45.5 MB)
• 16 - Matplotlib Bar Graphs English.vtt (5.1 KB)
• 16 - Matplotlib Bar Graphs.mp4 (24.9 MB)
• 16 - matplotlib-bargraph-histogram.ipynb (95.5 KB)
• 17 - Matplotlib Histogram English.vtt (3.4 KB)
• 17 - Matplotlib Histogram.mp4 (15.6 MB)
• 18 - Matplotlib Scatter Plot English.vtt (5.3 KB)
• 18 - Matplotlib Scatter Plot.mp4 (18.9 MB)
• 18 - matplotliob-scatterplot.ipynb (32.5 KB)
• 19 - Matplotlib Area Plot English.vtt (3.9 KB)
• 19 - Matplotlib Area Plot.mp4 (16.2 MB)
• 19 - area-plot.ipynb (21.2 KB)
• 20 - Matplotlib Pie Chart English.vtt (2.7 KB)
• 20 - Matplotlib Pie Chart.mp4 (9.8 MB)
• 20 - pie-chart.ipynb (14.1 KB)
• 21 - Matplotlib Subplots English.vtt (4.4 KB)
• 21 - Matplotlib Subplots.mp4 (12.7 MB)
6 - Supervised Machine Learning
• 22 - What is Supervised Machine Learning and Linear Regression Algorithm English.vtt (7.7 KB)
• 22 - What is Supervised Machine Learning and Linear Regression Algorithm.mp4 (42.0 MB)
• 23 - Implementation of Linear Regression English.vtt (8.8 KB)
• 23 - Implementation of Linear Regression.mp4 (42.0 MB)
• 23 - salaryData.csv (0.4 KB)
• 23 - simple-linear-regression.ipynb (69.8 KB)
• 24 - Plot Linear Regression English.vtt (6.6 KB)
• 24 - Plot Linear Regression.mp4 (28.9 MB)
• 25 - Implementation of Multi Linear Regression English.vtt (5.5 KB)
• 25 - Implementation of Multi Linear Regression.mp4 (29.0 MB)
• 25 - home.csv (0.2 KB)
• 25 - multi-linear-regression.ipynb (23.8 KB)
• 26 - Example 2 Multilinear Regression English.vtt (7.1 KB)
• 26 - Example 2 Multilinear Regression.mp4 (28.7 MB)
• 26 - marks.csv (0.1 KB)
• 26 - multi-linear-regression-ex2.ipynb (15.9 KB)
• 27 - Use Case Boston Housing Price Prediction English.vtt (13.0 KB)
• 27 - Use Case Boston Housing Price Prediction.mp4 (82.3 MB)
• 27 - boston-house.ipynb (36.1 KB)
• 28 - Save Model English.vtt (7.4 KB)
• 28 - Save Model.mp4 (36.3 MB)
• 28 - save-model.ipynb (12.0 KB)
• 29 - bank.csv (0.1 KB)
• 29 - how to implement Logistic Regression English.vtt (5.1 KB)
• 29 - how to implement Logistic Regression.mp4 (26.3 MB)
• 29 - logistic-regression.ipynb (19.5 KB)
• 30 - Logistic Regression on Iris Flower Dataset English.vtt (10.1 KB)
• 30 - Logistic Regression on Iris Flower Dataset.mp4 (58.8 MB)
• 31 - Logistic Regression on Digits Dataset English.vtt (6.4 KB)
• 31 - Logistic Regression on Digits Dataset.mp4 (43.3 MB)
• 32 - Naive Bayes Classifier English.vtt (6.5 KB)
• 32 - Naive Bayes Classifier.mp4 (33.6 MB)
• 33 - Implementation of Naive Bayes classifier on Wine Dataset English.vtt (8.5 KB)
• 33 - Implementation of Naive Bayes classifier on Wine Dataset.mp4 (45.6 MB)
• 33 - wine-dataset-example.ipynb (12.4 KB)
• 34 - Introduction to Naive Bayes Classifier for Text Classification English.vtt (3.5 KB)
• 34 - Introduction to Naive Bayes Classifier for Text Classification.mp4 (12.1 MB)
• 34 - classifier-basic.ipynb (2.9 KB)
• 35 - Implementating Naive Bayes Classifier for Text Classification English.vtt (9.1 KB)
• 35 - Implementating Naive Bayes Classifier for Text Classification.mp4 (40.0 MB)
• 35 - multinomial-classifier.ipynb (10.5 KB)
• 36 - Introduction to Decision Tree English.vtt (5.9 KB)
• 36 - Introduction to Decision Tree.mp4 (33.4 MB)
• 37 - Implementation of Decision Tree English.vtt (12.3 KB)
• 37 - Implementation of Decision Tree.mp4 (77.6 MB)
• 37 - decision-tree.ipynb (35.4 KB)
• 38 - KNearest NeighborKNN Algorithm English.vtt (6.3 KB)
• 38 - KNearest NeighborKNN Algorithm.mp4 (36.9 MB)
• 39 - Implementation of KNearest NeighborKNN Algorithm English.vtt (7.1 KB)
• 39 - Implementation of KNearest NeighborKNN Algorithm.mp4 (36.3 MB)
• 39 - User-Data.csv (10.7 KB)
• 39 - knn-example.ipynb (7.9 KB)
• 40 - Support Vector Machine Algorithm English.vtt (8.4 KB)
• 40 - Support Vector Machine Algorithm.mp4 (42.7 MB)
• 41 - Implementation of Support Vector Machine Algorithm English.vtt (10.4 KB)
• 41 - Implementation of Support Vector Machine Algorithm.mp4 (64.7 MB)
• 41 - SVM.ipynb (196.2 KB)
• 42 - Random Forest Algorithm English.vtt (5.1 KB)
• 42 - Random Forest Algorithm.mp4 (43.9 MB)
• 43 - Implementation of Random Forest Algorithm English.vtt (12.0 KB)
• 43 - Implementation of Random Forest Algorithm.mp4 (59.9 MB)
• 43 - random-forest.ipynb (7.7 KB)
7 - UnSupervised Machine Learning
• 44 - What is UnSupervised Machine Learning English.vtt (10.0 KB)
• 44 - What is UnSupervised Machine Learning.mp4 (47.2 MB)
• 45 - Types of Unsupervised Learning English.vtt (11.6 KB)
• 45 - Types of Unsupervised Learning.mp4 (47.2 MB)
• 46 - Advantages and Disadvantages of Unsupervised Learning English.vtt (7.3 KB)
• 46 - Advantages and Disadvantages of Unsupervised Learning.mp4 (36.5 MB)
• 47 - What is clustering English.vtt (9.1 KB)
• 47 - What is clustering.mp4 (37.6 MB)
• 48 - Kmeans Clustering English.vtt (10.7 KB)
• 48 - Kmeans Clustering.mp4 (58.5 MB)
• 49 - Implementing Kmeans Clustering English.vtt (8.7 KB)
• 49 - Implementing Kmeans Clustering.mp4 (35.3 MB)
• 50 - Image compression using Kmeans clustering Color Quantization using KMeans English.vtt (15.5 KB)
• 50 - Image compression using Kmeans clustering Color Quantization using KMeans.mp4 (65.4 MB)
8 - Reinforcement Learning
• 51 - Introduction to Reinforcement Learning English.vtt (15.4 KB)
• 51 - Introduction to Reinforcement Learning.mp4 (38.7 MB)
• 52 - Qlearning algorithm in machine learning English.vtt (6.7 KB)
• 52 - Qlearning algorithm in machine learning.mp4 (18.4 MB)
9 - Feature Engineering
• 53 - What is Feature Engineering English.vtt (6.8 KB)
• 53 - What is Feature Engineering.mp4 (26.3 MB)
• 54 - What is Outlier English.vtt (10.5 KB)
• 54 - What is Outlier.mp4 (50.5 MB)
• 54 - heights.csv (0.2 KB)
• 54 - outlier-basic-IQR.ipynb (63.8 KB)
• 55 - outlier detection and removal using std deviation English.vtt (16.1 KB)
• 55 - outlier detection and removal using std deviation.mp4 (66.2 MB)
• 55 - outlier-detection-and-removal-using-std-deviation.ipynb (64.6 KB)
• 56 - Z score English.vtt (9.1 KB)
• 56 - Z score.mp4 (19.5 MB)
• 57 - IQR English.vtt (8.7 KB)
• 57 - IQR.mp4 (20.5 MB)
• Bonus Resources.txt (0.1 KB)