Udemy - Master Machine Learning with Practical Case Studies

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Linear Regression using House Rent Prediction
• 1 - 1 - Introduction to Linear Regression.mp4.mp4 (59.1 MB)
• 10 - 10 - Tabulate Results.mov.mp4 (12.5 MB)
• 2 - 2 - Linear Regression.mov.mp4 (27.1 MB)
• 3 - 3 - Import Data.mov.mp4 (34.4 MB)
• 4 - 4 -Outlier Function.mov.mp4 (23.0 MB)
• 5 - 5 - Visualization.mov.mp4 (33.9 MB)
• 6 - 6 - Encode Data.mov.mp4 (30.4 MB)
• 7 - 7 - Linear Model.mov.mp4 (26.9 MB)
• 8 - 8 - Cross Validation and RMSE.mov.mp4 (10.1 MB)
• 9 - 9 - Plot Predictions.mov.mp4 (28.9 MB)
• House_Rent_Dataset.csv.csv (553.7 KB)
10 - Naive Bayes using Fraud Classification
• 1 - 1 - Introduction.mov.mp4 (39.1 MB)
• 2 - 2 - Load Dataset.mov.mp4 (30.0 MB)
• 2 - 3 - EDA.mov.mp4 (47.1 MB)
• 3 - 4 - Modeling.mov.mp4 (26.8 MB)
• 4 - 5 - Results.mov.mp4 (6.1 MB)
11 - AdaBoost using Housing Price Prediction
• 1 - 1 - Load Dataset.mov.mp4 (74.7 MB)
• 2 - 2 - EDA.mov.mp4 (45.0 MB)
• 3 - 3 - Modeling and Prediction.mov.mp4 (76.7 MB)
• house_pricing_data.csv.csv (2.4 MB)
12 - ARIMA
• 1 - 1 - Introduction Part 1.mov.mp4 (16.6 MB)
• 2 - 2 - Introduction Part 2.mov.mp4 (54.3 MB)
• 3 - 3 - Stationarity Checks.mov.mp4 (16.4 MB)
• 4 - 4 - Seasonal Decomposition Part 1.mov.mp4 (20.6 MB)
• 5 - 5 - Seasonal Decomposition Part 2.mov.mp4 (43.1 MB)
• 6 - 6 - Modeling and Prediction.mov.mp4 (41.8 MB)
13 - XGB using Stock Dataset
• 1 - 1 - Introduction.mov.mp4 (46.3 MB)
• 2 - 2 - EDA.mov.mp4 (29.7 MB)
• 3 - 3 - Data Preparation.mov.mp4 (42.8 MB)
• 4 - 4 - Modeling.mov.mp4 (84.7 MB)
• 5 - 5 - Backtesting.mov.mp4 (38.0 MB)
• 6 - 6 - Results.mov.mp4 (29.8 MB)
2 - Multicollinearity using Car Dataset
• 1 - 1 - Introduction.mp4.mp4 (57.5 MB)
• 2 - 2 - Linear Regression Data.mov.mp4 (28.4 MB)
• 3 - 3 - EDA Part 1.mov.mp4 (44.1 MB)
• 4 - 4 - EDA Part 2.mov.mp4 (50.6 MB)
• 5 - 5 - EDA Part 3.mov.mp4 (14.0 MB)
• 6 - 6 - Variance Inflation Factor.mov.mp4 (28.2 MB)
• 7 - 7 - Predictions.mov.mp4 (78.6 MB)
• Car_data.csv.csv (219.8 KB)
3 - Logistic Regression using Credit Card Fraud Classification
• 1 - 1 - Introduction.mov.mp4 (126.6 MB)
• 2 - 2 - Logistic Regression.mp4.mp4 (41.2 MB)
• 3 - 3 - EDA Part 1.mov.mp4 (35.7 MB)
• 3 - 4 - EDA Part 2.mov.mp4 (33.1 MB)
• 4 - 5 - Data Scaling Part 1.mov.mp4 (16.3 MB)
• 5 - 6 - Data Scaling Part 2.mov.mp4 (45.8 MB)
• 6 - 7 - Outlier Visualization.mov.mp4 (129.2 MB)
• 7 - 8 - Predictions.mov.mp4 (42.5 MB)
• 8 - 9 - Finding Best Parameters.mov.mp4 (33.4 MB)
4 - SVC using Bank Customer Retirement Classification
• 1 - 1 - SVC.mov.mp4 (44.5 MB)
• Bank_Customer_retirement.csv.csv (14.9 KB)
5 - Regularization using Sales Price Dataset
• 1 - 1 - Regularization Part 1.mov.mp4 (89.5 MB)
• 2 - 2 - Regularization Part 2.mov.mp4 (67.4 MB)
• test.csv.csv (440.8 KB)
• train.csv.csv (449.9 KB)
6 - Decision Tree
• 1 - 1 - EDA.mov.mp4 (63.8 MB)
• 2 - 2 - Model Predictions.mov.mp4 (97.4 MB)
7 - Random Forest using Housing Price Dataset
• 1 - 1 - Introduction to Random Forest.mp4.mp4 (106.8 MB)
• 10 - 10 - Comparison.mov.mp4 (13.7 MB)
• 2 - 2 - Overview.mov.mp4 (11.9 MB)
• 3 - 3 - Import Dataset.mov.mp4 (39.6 MB)
• 4 - 4 - Metrics.mov.mp4 (9.2 MB)
• 5 - 5 - Working of Random Forest.mov.mp4 (24.8 MB)
• 6 - 6 - Linear Regression Modeling.mov.mp4 (52.3 MB)
• 7 - 7 - Linear Regression Predictions.mov.mp4 (26.0 MB)
• 8 - 8 - Random Forest Modeling.mov.mp4 (26.3 MB)
• 9 - 9 - Random Forest Predictions.mov.mp4 (19.2 MB)
• USA_Housing.csv.csv (709.2 KB)
8 - PCA using Housing Price Prediction
• 1 - 1 - Part 1.mov.mp4 (98.7 MB)
• 2 - 2 - Part 2.mov.mp4 (85.7 MB)
• test.csv.csv (440.8 KB)
• train.csv.csv (449.9 KB)
9 - K-Means using Social Media and Customer Segmentation
• 1 - 1 - KMeans using Social Media Dataset Part 1.mov.mp4 (90.3 MB)
• 2 - 2 - KMeans using Social Media Dataset Part 2.mov.mp4 (39.4 MB)
• 3 - 3 - KMeans using Mall Customer Segmentation Part 1.mov.mp4 (65.7 MB)
• 4 - 4 - KMeans using Mall Customer Segmentation Part 2.mov.mp4 (22.5 MB)
• Live.csv.csv (553.8 KB)
• Mall_Customers.csv.csv (3.9 KB)
• Bonus Resources.txt (0.4 KB)