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You Won't Believe How Easy Machine Learning Pipelines Can Be

Machine Learning Pipelines | Keeping It Simple | Hands-on Tutorial | Data Science | Python

Categorical Data Imputation in Python using Predictive Models

A Better Approach to Categorical Data Imputation in Python

How to Improve a Classification Model? | Hands-on Case Study | Gaussian Naive Bayes

Hands-on Customer Segmentation Case Study | Linear Discriminant Analysis

Principal Component Analysis (PCA) | Dimension Reduction | Unsupervised Learning | Data Science

Hypothesis Testing for Beginners

Hands-on Support Vector Machines | Data Science Case Study in Python

Hands-on Logistic Regression Case Study | Data Science using Python

Air BNB Price Prediction Case Study | Boosting Algorithms | Adaptive, Gradient, and XGBoost

Hands-on Data Preparation and Feature Engineering in Python | Zomato Case Study

The Math behind Neural Networks | Backpropagation simplified for beginners | Deep Learning basics

The Math behind Neural Networks | Forward Pass simplified for beginners | Deep Learning basics

Optimizers in Neural Networks | Adagrad | RMSprop | ADAM | Deep Learning basics

Dropout | Regularization in Neural Networks | Deep Learning basics

Optimizers in Neural Networks | Gradient Descent with Momentum | NAG | Deep Learning basics

The Softmax Activation Function | Deep Learning baiscs

Comparing Machine Learning Models | Logistic Regression | LDA | Decision Trees | Random Forest

All-in-one Data Preparation | Missing Values | Outliers | Scaling | Multicollinearity | Encoding

Gradient Descent Continued | Deep Learning basics

Gradient Descent | Deep Learning basics

Batch Normalization in Neural Networks | Deep Learning basics

Neural Networks throw their weights around 😊 | Xavier & He Initialization | Deep Learning basics

Importance of Weight Initialization in Neural Networks | Deep Learning basics

All-in-one Activation Functions | Sigmoid, tanh, ReLU, Leaky ReLU, ELU, Swish | Deep Learning basics

Activation functions | Better Neural Networks | Deep Learning basics

Importance of Activation Functions in Neural Networks | Deep Learning basics

Where and how to find the best datasets? | Data Science

Getting started with Neural Networks

The evolution of Perceptrons: From Sigmoid to Multilayer marvels

The journey of a neuron | Geometric intuition

The journey of a neuron | The Perceptron

The journey of a neuron | McCulloch Pitts Neuron

Kano model

What's the difference? | Data Science vs Data Analytics

Tracing the roots of Data Science

Python hands-on tutorial: Lambda Functions | Lambda Expressions

The better Hyperparameter Tuning using Bayesian Search & Optuna

Bayesian Search | The better Hyperparameter Tuning approach

Hands-on Hyperparameter Tuning | Randomized Search

Hands-on Hyperparameter Tuning | Grid Search

Hyperparameter Tuning | Grid Search | Randomized Search

Ensemble Machine Learning Technique: Blending & Stacking

Ensemble Machine Learning Technique: Boosting

Ensemble Machine Learning Technique: Voting

Ensemble Machine Learning Technique: Bagging | Bootstrap Aggregation

Ensemble Machine Learning Techniques

Getting the best results from your ML models | Youden's Index

Recall vs Precision | Which is a better model performance metric?

Advanced Data Preparation Mindmap

Association of Categorical Variables | Cramer's V

Treating duplicate rows

🛒 Hands-on Market Basket Analysis in Python 📊

🛒 Market Basket Analysis using the Apriori property 📊

🛒 Market Basket Analysis: Understanding the Probability Connection 📊

EDA using Pandas Profiling | YData Profiling Part 2

EDA using Pandas Profiling | YData Profiling

Hands-on Tutorial | Gaussian Mixture Model in Python | Data Science