Normalized Nerd

Introduction to NLP | Bag of Words Model

Text Summarization & Keyword Extraction | Introduction to NLP

Standardization vs Normalization Clearly Explained!

Machine Learning with Scikit-Learn Python | K-fold Cross-validation

Multiprocessing in Python | Basics to Advanced | Tutorial - 1

Decision Tree Regression in Python (from scratch!)

Introduction to NLP | GloVe Model Explained

Autoencoders Made Easy! (with Convolutional Autoencoder)

Accuracy, F1 Score, Confusion Matrix | Machine Learning with Scikit-Learn Python

A.I. Evolves to Play Hit the Ball | Neural Network + Genetic Algorithm

Markov Chains: Generating Sherlock Holmes Stories | Part - 4

Transfer Learning | How to Extract Features from Images?

The Math Behind Generative Adversarial Networks Clearly Explained!

Decision Tree Classification in Python (from scratch!)

GridSearchCV | Hyperparameter Tuning | Machine Learning with Scikit-Learn Python

Markov Chains: n-step Transition Matrix | Part - 3

Feature Scaling | Machine Learning with Scikit-Learn Python

Logistic Regression in Python

DBSCAN Algorithm | Machine Learning with Scikit-Learn Python

Top 11 Pandas Tricks Every Data Science Lover Should Know

Kaggle Challenges | Why and How to Participate

A.I. beats the Game (full video)

K-means Clustering in Python

Decision Tree Regression Clearly Explained!

Naive Bayes Classifier in Python (from scratch!)

Stochastic Gradient Descent | Why and How it Works?

Markov Chains Clearly Explained! Part - 1

Sarcasm is Very Easy to Detect! GloVe + LSTM

Machine Learning with Scikit-Learn Python | Logistic Regression

Linear Regression: OLS, Ridge, Lasso and beyond

The Course Loop and How to Break It

Why do we need Cross Entropy Loss? (Visualized)

Hidden Markov Model Clearly Explained! Part - 5

What's my Data Science background? QnA | NORMALIZED NERD

Machine Learning with Scikit-Learn Python | Polynomial Linear Regression

Forward Algorithm Clearly Explained | Hidden Markov Model | Part - 6

Introduction to NLP | How to Train Custom Word Vectors

What is Norm in Machine Learning?

Machine Learning with Scikit-Learn Python | RMSE, MAE, RMSLE, adj R2 and more

The Math Behind Bayesian Classifiers Clearly Explained!

Introduction to NLP | Bag of Words Model

Monte Carlo Simulation with Card Games

Covariance Clearly Explained!

GAN Generates English & Bengali Alphabets | How to Train a GAN?

MegaFavNumbers - 115,132,219,018,763,992,565,095,597,973,971,522,401 is the last of its kind!

R squared and Adjusted R squared Explained

AI Text Generation Clearly Explained!

The Central Limit Theorem Clearly Explained!

Markov Chains: Recurrence, Irreducibility, Classes | Part - 2

KNN Classification & Regression in Python

Machine Learning with Scikit-Learn Python | Linear Regression