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 • 34 lessons • 12 hours of video
Machine Learning Tutorial Python | Machine Learning For Beginners
34 lessons
• 9.5 hours
Machine Learning Tutorial Python | Machine Learning For Beginners
34 lessons
• 9.5 hours
- Machine Learning Tutorial Python -1: What is Machine Learning? 06:51
- Machine Learning Tutorial Python - 2: Linear Regression Single Variable 15:14
- Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables 14:08
- Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function 28:26
- Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle 08:21
- Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding 21:35
- Machine Learning Tutorial Python - 7: Training and Testing Data 06:34
- 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 Tree 14:46
- Machine Learning Tutorial Python - 10 Support Vector Machine (SVM) 23:22
- Machine Learning Tutorial Python - 11 Random Forest 12:48
- Machine Learning Tutorial Python 12 - K Fold Cross Validation 25:20
- Machine Learning Tutorial Python - 13: K Means Clustering Algorithm 25:15
- Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1 13:38
- Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2 11:28
- Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV) 16:30
- Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression 19:21
- Data Science & Machine Learning Project - Part 1 Introduction | Image Classification 04:42
- Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification 05:37
- Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification 40:45
- Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification 18:23
- Data Science & Machine Learning Project - Part 5 Training a Model | Image Classification 20:01
- Data Science & Machine Learning Project - Part 6 Flask Server | Image Classification 36:16
- Data Science & Machine Learning Project - Part 7 Build Website | Image Classification 38:14
- Data Science & Machine Learning Project - Part 8 Deployment & Exercise | Image Classification 05:17
- Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code 15:42
- Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code 24:09
- Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning 10:50
- Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging 23:37
- What is feature engineering | Feature Engineering Tutorial Python # 1 05:12
- Outlier detection and removal using percentile | Feature engineering tutorial python # 2 17:18
- Outlier detection and removal: z score, standard deviation | Feature engineering tutorial python # 3 20:05
- Outlier detection and removal using IQR | Feature engineering tutorial python # 4 08:02
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