Machine Learning | codebasics

Machine Learning Course Instructor

codebasics

I am Dhaval Patel, Founder of the online education platform codebasics.io and a co-founder of a software & data company called AtliQ Technologies (Ex. Bloomberg, NVIDIA). Teaching is my passion. The goal of this channel is to make the BEST quality DATA education available to all for free. I have more than 12+ years of DATA INDUSTRY experience (mainly in the USA) and the co-founder of this channel Hemanand Vadivel has 6+ years of DATA INDUSTRY experience in Europe. We teach based on our real-life

Course Details

No Of Lessons 42
Duration 12h 0m
Language English
No Of Students 35
No Prerequisite
(12)
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Machine Learning Course Lessons

1 | Machine Learning Tutorial Python -1: What is Machine Learning? 00:06:51
2 | Machine Learning Tutorial Python - 2: Linear Regression Single Variable 00:15:14
3 | Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables 00:14:08
4 | Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function 00:28:26
5 | Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle 00:08:21
6 | Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding 00:21:35
7 | Machine Learning Tutorial Python - 7: Training and Testing Data 00:06:34
8 | Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification) 00:19:19
9 | Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification) 00:15:43
10 | Machine Learning Tutorial Python - 9 Decision Tree 00:14:46
11 | Machine Learning Tutorial Python - 10 Support Vector Machine (SVM) 00:23:22
12 | Machine Learning Tutorial Python - 11 Random Forest 00:12:48
13 | Machine Learning Tutorial Python 12 - K Fold Cross Validation 00:25:20
14 | Machine Learning Tutorial Python - 13: K Means Clustering Algorithm 00:25:15
15 | Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1 00:13:38
16 | Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2 00:11:28
17 | Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV) 00:16:30
18 | Machine Learning Tutorial Python - 17: L1 and L2 Regularization Lasso, Ridge Regression 00:19:21
19 | Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code 00:15:42
20 | Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code 00:24:09
21 | Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning 00:10:50
22 | Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging 00:23:37
23 | Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project) 00:02:12
24 | Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project) 00:15:21
25 | Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction) 00:08:26
26 | Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project) 00:19:31
27 | Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project) 00:19:12
28 | Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction) 00:21:13
29 | Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project) 00:13:21
30 | Deploy machine learning model to production AWS (Amazon EC2 instance) 00:28:38
31 | Data Science & Machine Learning Project - Part 1 Introduction Image Classification 00:04:42
32 | Data Science & Machine Learning Project - Part 2 Data Collection Image Classification 00:05:37
33 | Data Science & Machine Learning Project - Part 3 Data Cleaning Image Classification 00:40:45
34 | Data Science & Machine Learning Project - Part 4 Feature Engineering Image Classification 00:18:23
35 | Data Science & Machine Learning Project - Part 5 Training a Model Image Classification 00:20:01
36 | Data Science & Machine Learning Project - Part 6 Flask Server Image Classification 00:36:16
37 | Data Science & Machine Learning Project - Part 7 Build Website Image Classification 00:38:14
38 | Data Science & Machine Learning Project - Part 8 Deployment & Exercise Image Classification 00:05:17
39 | What is feature engineering Feature Engineering Tutorial Python # 1 00:05:12
40 | Outlier detection and removal using percentile Feature engineering tutorial python # 2 00:17:18
41 | Outlier detection and removal: z score, standard deviation Feature engineering tutorial python # 3 00:20:05
42 | Outlier detection and removal using IQR Feature engineering tutorial python # 4 00:08:02

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