I am a Data Scientist with over 10 + years of experience in IT industry on various domains. My expertise is in Python, Machine Learning and Deep learning. This channel is to help beginners to have an understanding of what is datascience, Machine learning and Artificial Intelligence and get started with it.

Efficient way to learn Maths for Machine learning | How to learn the MATH for Machine Learning?
13:06
Efficient way to learn Maths for Machine learning | How to learn the MATH for Machine Learning?
Out of Bag error/Out of Bag score (OOB Error/ OOB Score) |OOB Score/Error in Random Forest algorithm
10:00
Out of Bag error/Out of Bag score (OOB Error/ OOB Score) |OOB Score/Error in Random Forest algorithm
Adaboost Classification | Adaboost classifier | complete math explained
41:15
Adaboost Classification | Adaboost classifier | complete math explained
Bagging Vs Boosting | Difference between Bagging and Boosting Machine learning Algorithms
10:07
Bagging Vs Boosting | Difference between Bagging and Boosting Machine learning Algorithms
Probability Vs Likelihood | What is the difference between probability and likelihood?
10:36
Probability Vs Likelihood | What is the difference between probability and likelihood?
Understanding derivatives of activation functions in detail
14:13
Understanding derivatives of activation functions in detail
Neural Network activation function Derivatives : Equations for derivatives of activation function
15:48
Neural Network activation function Derivatives : Equations for derivatives of activation function
Implement Neural Network from scratch: Forward & backward pass in python | No keras, No Tensorflow
1:13:09
Implement Neural Network from scratch: Forward & backward pass in python | No keras, No Tensorflow
Equations of Gradients of a Neural network: Derivations of gradients/derivatives of a neural network
55:55
Equations of Gradients of a Neural network: Derivations of gradients/derivatives of a neural network
Probability Distributions - Part 1 : A Gentle introduction to Probability distributions
14:41
Probability Distributions - Part 1 : A Gentle introduction to Probability distributions
Machine learning Interview Questions: Why Multicollinearity is a problem in Machine learning?
16:09
Machine learning Interview Questions: Why Multicollinearity is a problem in Machine learning?
Implement Custom Ensemble Machine learning model | Naive Bayes+Logistic regression + SVM
43:22
Implement Custom Ensemble Machine learning model | Naive Bayes+Logistic regression + SVM
part 3 - Implement Forward pass of Neural Network from scratch in python
34:09
part 3 - Implement Forward pass of Neural Network from scratch in python
Part 2 - Implement single layer of a Neural Network from scratch in python
20:31
Part 2 - Implement single layer of a Neural Network from scratch in python
Part 1 - Implement single Neuron of a Neural Network from scratch in python
11:33
Part 1 - Implement single Neuron of a Neural Network from scratch in python
SVM: Support Vector Machine - Soft Margin | Complete math behind soft marging SVM
18:38
SVM: Support Vector Machine - Soft Margin | Complete math behind soft marging SVM
SVM: Support Vector Machine - Hard Margin | Complete math behind SVM hard margin classifier
40:26
SVM: Support Vector Machine - Hard Margin | Complete math behind SVM hard margin classifier
Support Vector Machine (SVM) - Geometric intuition
7:14
Support Vector Machine (SVM) - Geometric intuition
ElasticNet Regression | Machine learning Linear regression
12:44
ElasticNet Regression | Machine learning Linear regression
SVM Pre requisite: What is Hyperplane? | Hyperplane equation in N-Dimensional Space
22:31
SVM Pre requisite: What is Hyperplane? | Hyperplane equation in N-Dimensional Space
Sklearn Pipelines in Machine learning | Column Transformers
42:22
Sklearn Pipelines in Machine learning | Column Transformers
Outliers detection using IQR and Z_Score | Machine learning | Data Science
18:47
Outliers detection using IQR and Z_Score | Machine learning | Data Science
Boosting in Machine learning - Intuition | Ensemble technique
11:46
Boosting in Machine learning - Intuition | Ensemble technique
Random Forest | Machine learning Ensemble | Bagging | Bootstrap aggregation
14:40
Random Forest | Machine learning Ensemble | Bagging | Bootstrap aggregation
Ensemble Algorithms in Machine learning | Bagging | Boosting
9:07
Ensemble Algorithms in Machine learning | Bagging | Boosting
Bagging in Machine learning | Explained in depth
18:03
Bagging in Machine learning | Explained in depth
Machine learning mini project: Twitter Bot classification | Machine learning project
1:49:54
Machine learning mini project: Twitter Bot classification | Machine learning project
Machine learning Interview Questions: What if parameters of logistic regression are set to zero
15:27
Machine learning Interview Questions: What if parameters of logistic regression are set to zero
Machine learning Interview Questions: Why logistic regression is called regression?
11:40
Machine learning Interview Questions: Why logistic regression is called regression?
Steps to follow in any Machine learning / Data Science project
24:45
Steps to follow in any Machine learning / Data Science project