NeuronNetwork

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Aim of this channel is to share knowledge about Machine learning, Deep Learning and everything else which makes it so interesting. Check out my website : htt...

Latest Videos

Attention Mechanism in Large Language Models ! Clearly Explained !

De-Mystifying Large Language Models and GenAI

Introduction to Deep Learning - Part 1

Probability for DataScience ! All you need to Know in 40 Mins ! Boot Camp Foundation Video!

#9 Numpy Sorting ! Partitioning ! Numpy Array DeepDive !

#8 Numpy Fancy Indexing ! Numpy Array DeepDive !

#7 Comparision , Masking and Boolean Array! Numpy Array DeepDive !

#6 Broadcasting and Vectorization ! Numpy Array DeepDive !

#5 Numpy Aggregation ! Numpy Array DeepDive !

#4 Numpy Arithmetic Operations, UFuncs !

#3 Indexing, Slicing, Reshaping, Split and Join of Arrays !

#2 Numpy Arrays ! Various ways to create ! Numpy Array DeepDive !

#1 Numpy Introduction ! Why arrays are faster than List ! Numpy Deepdive !

XGBoost ! Maths behind XGBoost !! Code using Scikit-learn ! Part 2

XGBoost ! Intuition and Working Example !! Algorithmic improvements in XGBoost ! Part 1

Regularization ! L1(Lasso), L2(Ridge), ElasticNet !! Complete Intuition and Maths ! Part 2

Regularization ! L1 (LASSO), L2 (RIDGE), ElasticNet !! Complete Intuition and Maths ! Part - 1

DSML Interview Question Series ! Week #4 ! KL Divergence, Covariance, MulticlassMultiLabel

Gradient Boosting ! Intuition, Algorithm , Walkthrough and Code with Scikit-learn! Clearly Explained

AdaBoost ! Boosting Ensemble DeepDive ! Intuition and Code with Scikit-learn ! Clearly Explained !

Bagging and Random Forest ! Intuition and Code with Scikit-learn ! Clearly Explained !

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 !

Top 20 Pandas Tricks which every Data Scientist should know !! Clearly Explained! Notebook Attached

#10 Interview Question - Biased Coin and Hypothesis Testing !

#9 Interview Question - What are the assumptions of linear regression

#8 Interview Question - What is Central Limit Theorem Explain it’s significance

#6 Interview Question - Explain Z-Score and it's significance !

#7 Interview Question - What is Skew or Skewness Explain left, Right Skew distribution.

Decision Tree Classifier #3 ! Complete Coding with SciKitLearn ! Clearly explained!