1 Free Data Science Course Online - OSEMN Framework | Introduction
2 Free Data Science Course Online - OSEMN Framework | Requirement Gathering in Data Science
3 Data Science Awesome Framework (Data Extraction Primer) - Step 2 | Data Extraction in ML
4 MongoDB in 25 minutes (Machine Learning) | Extract Data from NoSQL DB MongoDB for Machine Learning
5 Hands-on with Web Scraping using Python and Beautifulsoup | Data Extraction for Machine Learning
6 How to Extract Data using API | What is an API and How exactly it works | Python Code Part 1
7 How to Extract Data using API | What is an API and How exactly it works | Python Code Part 2
8 Load or Extract Data from MySQL DB or CSV file for ML | Extract Data using Sklearn Python for ML
9 Simulate Machine Learning Classification Data | Data Simulation Technique using Python
10 Simulate Machine Learning Regression & Clustering Data | Data Simulation Technique using Python
11 Scrubbing or Cleaning Bad data in Data Science (Python) - Step 3 | Data Munging in Machine Learning
12 3.Dataset Missing Values & Imputation (Detailed Python Tutorial) | Impute Missing values in ML
13 4.One Hot Encoding to process Categorical variables (Python) | Process Categorical Features
14 5.Split data into Training and Test set in Data Science (Python) | Train Test Split function in ML
15 6.Feature Scaling in Machine Learning(Normalization & Standardization) | Feature Scaling Sklearn
16 7.Outlier Detection and Treatment using Python - Part 1 | How to Detect outliers in Machine Learning
17 8.Outlier Detection and Treatment using Python - Part 2 | How to Detect outliers in Machine Learning
18 9.Outlier Detection and Treatment using Python - Part 3 | How to Detect outliers in Machine Learning
19 Log Transformation for Outliers | Convert Skewed data to Normal Distribution
20 Outlier Treatment through Square Root Transformation | Convert Skewed data to Normal Distribution
21 Python Pandas Tutorial Series: Using Map, Apply and Applymap
22 Use Regular Expression to split string into Dataframe columns (Pandas)
23 Python Pandas Tutorial - Adding & Dropping columns (Machine Learning)
24 Python Pandas Tutorial - Merge Dataframes (Machine Learning)
25 Python Exploratory Data Analysis (OSEMN Framework) - Step 4
26 Univariate Analysis for Categorical Variables using Python
27 Univariate Analysis for Numerical Variables (Exploratory Data Analysis) Intuition
28 Convert Numerical variable to Categorical Intuition | BINNING
29 BINNING | Convert Numerical variable to Categorical using Python
30 How to do Bivariate Analysis of Numerical Numerical Variables
31 Chi Square Test | How to do Bivariate Analysis of Categorical Categorical Variables
32 z-test & t-test | Bivariate Analysis for Numerical-Categorical Variables
33 Bivariate Analysis for Numerical-Categorical Variables|ANOVA|Data Science EDA
34 Don't know the Difference among AI, ML and Deep Learning ?
35 Simple Linear Regression using Scikit Learn & Spark MLLib | Introduction & Intuition
36 Simple Linear Regression using Scikit Learn & Spark MLLib | Data Pre-processing | Code Part 1
37 Simple Linear Regression using Scikit Learn & Spark MLLib | Building Model | Code Part 2
38 Simple Linear Regression using Scikit Learn & Spark MLLib | Graphical Comparison | Code Part 3
39 Simple Linear Regression | Scikit Learn & Spark MLLib | Model Evaluation Techniques - Part 1
40 Simple Linear Regression | MSE RMSE & MAE | Model Evaluation Techniques - Part 2
41 Enable Apache Spark(Pyspark) to run on Jupyter Notebook - Part 1 | Install Spark on Jupyter Notebook
42 Enable Apache Spark(Pyspark) to run on Jupyter Notebook - Part 2 | Install Spark on Jupyter Notebook
43 Run PySpark on Google Colab for FREE! | PySpark on Jupyter
44 Simple Linear Regression using Spark MLLib | Introduction
45 Simple Linear Regression using Spark MLLib | Data Preprocessing
46 Simple Linear Regression using Spark MLLib | Build Train & Evaluate Model
47 Multiple Linear Regression using Scikit Learn | Introduction & Intuition
48 Multiple Linear Regression using Scikit Learn | Coding Part 1
49 Multiple Linear Regression using Scikit Learn | Coding Part 2
50 Multiple Linear Regression using Spark(PySpark) MLLib | Coding Part - 1
51 Multiple Linear Regression using Spark(PySpark) MLLib | Coding Part - 2
52 Multiple Linear Regression using Spark(PySpark) MLLib | Coding Part - 3
53 Polynomial Regression using Python | Polynomial Regression Machine Learning
54 Polynomial Regression Machine Learning Python Code
55 Decision Tree Regression Introduction and Intuition
56 Complete End to End Python code for Decision Tree Regression
57 Random Forest Regression Introduction and Intuition
58 Complete End to End Python code for Random Forest Regression
59 Fantastic Explanation of Logistic Regression in Machine Learning - Part 1
60 Fantastic Explanation of Logistic Regression Model - Part 2
61 How to Develop and Train Logistic Regression model on Titanic Dataset | Python Code Part 1
62 How to Develop and Train Logistic Regression model on Titanic Dataset | Python Code Part 2
63 Best Explanation of Confusion Matrix False Positive False Negative so far
64 Precision Recall and F1-Score Explanation in Easy way
65 How to use CAP curve for Classification Model Evaluation? | What is CAP Curve?
66 Best Explanation of Evaluating Classification Model using AUC-ROC Curve
67 How to Generate AUC-ROC curve for Evaluating Logistic Regression Model?
68 Fantastic Explanation of Support Vector Machine algorithm | Support Vector Machine Intuition
69 Build Train and Evaluate Support Vector Machine Model | Train & Evaluate SVM model using python
70 Fantastic Explanation of K-Nearest Neighbor | K-Nearest Neighbor Introduction and Intuition
71 Build Train & Evaluate K-Nearest Neighbor (KNN) Model | Using Python & Scikit Learn
72 Decision Tree Classification Introduction and Intuition
73 What are the 4 Key Steps to Create a Decision Tree? | How to Create Decision tree?
74 How to Measure the Purity of Decision Tree split using GINI INDEX | How to calculate Gini Index?
75 How to Measure the Purity of Decision Tree split using Information Gain
76 Build, Train & Evaluation Decision Tree Model | Decision Tree using Scikit Learn
77 How to Train Random Forest Classifier using Python? | How does Random Forest work?
78 How to AUTOMATE Data Science Lifecycle | How to AUTOMATE Machine Learning Pipeline
79 डेटा Science Lifecycle को स्वचालित कैसे करें | How to AUTOMATE Data Science Lifecycle in Hindi