Aim of this channel is to share knowledge about Machine learning, Deep Learning and everything else which makes it so interesting.

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Attention Mechanism in Large Language Models ! Clearly Explained !
22:50
Attention Mechanism in Large Language Models ! Clearly Explained !
De-Mystifying Large Language Models and GenAI
48:53
De-Mystifying Large Language Models and GenAI
Introduction to Deep Learning - Part 1
1:44:53
Introduction to Deep Learning - Part 1
Probability for DataScience ! All you need to Know in 40 Mins ! Boot Camp Foundation Video!
41:20
Probability for DataScience ! All you need to Know in 40 Mins ! Boot Camp Foundation Video!
#9 Numpy Sorting ! Partitioning ! Numpy Array DeepDive !
14:49
#9 Numpy Sorting ! Partitioning ! Numpy Array DeepDive !
#8 Numpy Fancy Indexing ! Numpy Array DeepDive !
5:31
#8 Numpy Fancy Indexing ! Numpy Array DeepDive !
#7 Comparision , Masking and Boolean Array! Numpy Array DeepDive !
9:42
#7 Comparision , Masking and Boolean Array! Numpy Array DeepDive !
#6 Broadcasting and Vectorization ! Numpy Array DeepDive !
13:15
#6 Broadcasting and Vectorization ! Numpy Array DeepDive !
#5 Numpy Aggregation ! Numpy Array DeepDive !
15:14
#5 Numpy Aggregation ! Numpy Array DeepDive !
#4 Numpy Arithmetic Operations, UFuncs !
21:23
#4 Numpy Arithmetic Operations, UFuncs !
#3 Indexing, Slicing, Reshaping, Split and Join of Arrays !
31:59
#3 Indexing, Slicing, Reshaping, Split and Join of Arrays !
#2 Numpy Arrays ! Various ways to create ! Numpy Array DeepDive !
15:12
#2 Numpy Arrays ! Various ways to create ! Numpy Array DeepDive !
#1 Numpy Introduction ! Why arrays are faster than List ! Numpy Deepdive !
24:17
#1 Numpy Introduction ! Why arrays are faster than List ! Numpy Deepdive !
XGBoost ! Maths behind XGBoost !! Code using Scikit-learn ! Part 2
22:13
XGBoost ! Maths behind XGBoost !! Code using Scikit-learn ! Part 2
XGBoost ! Intuition and Working Example !! Algorithmic improvements in XGBoost ! Part 1
52:30
XGBoost ! Intuition and Working Example !! Algorithmic improvements in XGBoost ! Part 1
Regularization ! L1(Lasso), L2(Ridge), ElasticNet !! Complete Intuition and Maths ! Part 2
34:25
Regularization ! L1(Lasso), L2(Ridge), ElasticNet !! Complete Intuition and Maths ! Part 2
Regularization ! L1 (LASSO), L2 (RIDGE), ElasticNet !! Complete Intuition and Maths ! Part - 1
35:53
Regularization ! L1 (LASSO), L2 (RIDGE), ElasticNet !! Complete Intuition and Maths ! Part - 1
DS/ML Interview Question Series ! Week #4 ! KL Divergence, Covariance, Multiclass/MultiLabel
40:28
DS/ML Interview Question Series ! Week #4 ! KL Divergence, Covariance, Multiclass/MultiLabel
Gradient Boosting ! Intuition, Algorithm , Walkthrough and Code with Scikit-learn! Clearly Explained
36:28
Gradient Boosting ! Intuition, Algorithm , Walkthrough and Code with Scikit-learn! Clearly Explained
AdaBoost ! Boosting Ensemble DeepDive ! Intuition and Code with Scikit-learn ! Clearly Explained !
48:44
AdaBoost ! Boosting Ensemble DeepDive ! Intuition and Code with Scikit-learn ! Clearly Explained !
Bagging and Random Forest ! Intuition and Code with Scikit-learn ! Clearly Explained !
42:27
Bagging and Random Forest ! Intuition and Code with Scikit-learn ! Clearly Explained !
DS Interview Question Series Week #3 Normalization,Correlation,Ridge regression,imbalanced,outliers
39:41
DS Interview Question Series Week #3 Normalization,Correlation,Ridge regression,imbalanced,outliers
Ensemble Learning ! Bagging, Boosting and Random Forest ! All in less than 45 mins !
44:40
Ensemble Learning ! Bagging, Boosting and Random Forest ! All in less than 45 mins !
Top 20 Pandas Tricks which every Data Scientist should know !! Clearly Explained! Notebook Attached
41:40
Top 20 Pandas Tricks which every Data Scientist should know !! Clearly Explained! Notebook Attached
#10 Interview Question - Biased Coin and Hypothesis Testing !
10:02
#10 Interview Question - Biased Coin and Hypothesis Testing !
#9 Interview Question - What are the assumptions of linear regression ?
7:13
#9 Interview Question - What are the assumptions of linear regression ?
#8 Interview Question - What is Central Limit Theorem ? Explain it’s significance
10:58
#8 Interview Question - What is Central Limit Theorem ? Explain it’s significance
#6 Interview Question - Explain Z-Score and it's significance !
18:51
#6 Interview Question - Explain Z-Score and it's significance !
#7 Interview Question - What is Skew or Skewness ? Explain left, Right Skew distribution.
8:47
#7 Interview Question - What is Skew or Skewness ? Explain left, Right Skew distribution.
Decision Tree Classifier #3 ! Complete Coding with SciKitLearn ! Clearly explained!
17:41
Decision Tree Classifier #3 ! Complete Coding with SciKitLearn ! Clearly explained!