Machine Learning Tutorial Python | Machine Learning For Beginners
5.0
(3)
25 learners
What you'll learn
This course includes
- 12 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 42 lessons • 12 hours of video
Machine Learning Tutorial Python | Machine Learning For Beginners
42 lessons
• 12 hours
Machine Learning Tutorial Python | Machine Learning For Beginners
42 lessons
• 12 hours
- Machine Learning Tutorial Python -1: What is Machine Learning?06:51
- Machine Learning Tutorial Python - 2: Linear Regression Single Variable15:14
- Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables14:08
- Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function28:26
- Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle08:21
- Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding21:35
- Machine Learning Tutorial Python - 7: Training and Testing Data06:34
- Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)19:19
- Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)15:43
- Machine Learning Tutorial Python - 9 Decision Tree14:46
- Machine Learning Tutorial Python - 10 Support Vector Machine (SVM)23:22
- Machine Learning Tutorial Python - 11 Random Forest12:48
- Machine Learning Tutorial Python 12 - K Fold Cross Validation25:20
- Machine Learning Tutorial Python - 13: K Means Clustering Algorithm25:15
- Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 113:38
- Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 211:28
- Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)16:30
- Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression19:21
- Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project)02:12
- Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project)15:21
- Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction)08:26
- Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project)19:31
- Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)19:12
- Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction)21:13
- Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project)13:21
- Deploy machine learning model to production AWS (Amazon EC2 instance)28:39
- Data Science & Machine Learning Project - Part 1 Introduction | Image Classification04:42
- Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification05:37
- Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification40:45
- Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification18:23
- Data Science & Machine Learning Project - Part 5 Training a Model | Image Classification20:01
- Data Science & Machine Learning Project - Part 6 Flask Server | Image Classification36:16
- Data Science & Machine Learning Project - Part 7 Build Website | Image Classification38:14
- Data Science & Machine Learning Project - Part 8 Deployment & Exercise | Image Classification05:17
- Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code15:42
- Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code24:09
- Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning10:50
- Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging23:37
- What is feature engineering | Feature Engineering Tutorial Python # 105:12
- Outlier detection and removal using percentile | Feature engineering tutorial python # 217:18
- Outlier detection and removal: z score, standard deviation | Feature engineering tutorial python # 320:05
- Outlier detection and removal using IQR | Feature engineering tutorial python # 408:02
