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📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables
📐 ML Fundamentals
Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables
Krish Naik Intermediate 6y ago
Complete Life Cycle of a Data Science Project
📐 ML Fundamentals
Complete Life Cycle of a Data Science Project
Krish Naik Intermediate 6y ago
My Path on Becoming a Data Scientist- Motivation
📐 ML Fundamentals
My Path on Becoming a Data Scientist- Motivation
Krish Naik Intermediate 6y ago
Train Test Split vs K Fold vs Stratified K fold Cross Validation
📐 ML Fundamentals
Train Test Split vs K Fold vs Stratified K fold Cross Validation
Krish Naik Intermediate 6y ago
What is Cross Validation and its types?
📐 ML Fundamentals
What is Cross Validation and its types?
Krish Naik Beginner 6y ago
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
📐 ML Fundamentals
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
Krish Naik Beginner 6y ago
Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
📐 ML Fundamentals
Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
Krish Naik Beginner 6y ago
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
📐 ML Fundamentals
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
Krish Naik Beginner 6y ago
Tutorial 4- Book Recommendation using Collaborative Filtering
📐 ML Fundamentals
Tutorial 4- Book Recommendation using Collaborative Filtering
Krish Naik Beginner 6y ago
Tutorial 16- AdaDelta and RMSprop optimizer
📐 ML Fundamentals
Tutorial 16- AdaDelta and RMSprop optimizer
Krish Naik Beginner 6y ago
Tutorial 3- Book Recommendation System using Pearson Correlation
📐 ML Fundamentals
Tutorial 3- Book Recommendation System using Pearson Correlation
Krish Naik Beginner 6y ago
Tutorial 2-  Creating Recommendation Systems using Nearest Neighbors
📐 ML Fundamentals
Tutorial 2- Creating Recommendation Systems using Nearest Neighbors
Krish Naik Beginner 6y ago
Tutorial 1- Weighted hybrid technique for Recommender system
📐 ML Fundamentals
Tutorial 1- Weighted hybrid technique for Recommender system
Krish Naik Intermediate 6y ago
Tutorial 15- Adagrad Optimizers in Neural Network
📐 ML Fundamentals
Tutorial 15- Adagrad Optimizers in Neural Network
Krish Naik Beginner 6y ago
Tutorial 14- Stochastic Gradient Descent with Momentum
📐 ML Fundamentals
Tutorial 14- Stochastic Gradient Descent with Momentum
Krish Naik Beginner 6y ago
Tutorial 13- Global Minima and Local Minima in Depth Understanding
📐 ML Fundamentals
Tutorial 13- Global Minima and Local Minima in Depth Understanding
Krish Naik Beginner 6y ago
Tutorial 12- Stochastic Gradient Descent vs Gradient Descent
📐 ML Fundamentals
Tutorial 12- Stochastic Gradient Descent vs Gradient Descent
Krish Naik Beginner 6y ago
Python Application to Track Amazon Product Prices
📐 ML Fundamentals
Python Application to Track Amazon Product Prices
Krish Naik Intermediate 6y ago
Recommendation Systems using Machine Learning
📐 ML Fundamentals
Recommendation Systems using Machine Learning
Krish Naik Intermediate 6y ago
Tutorial 11- Various Weight Initialization Techniques in Neural Network
📐 ML Fundamentals
Tutorial 11- Various Weight Initialization Techniques in Neural Network
Krish Naik Beginner 6y ago
Tutorial 10- Activation Functions Rectified Linear Unit(relu) and Leaky Relu Part 2
📐 ML Fundamentals
Tutorial 10- Activation Functions Rectified Linear Unit(relu) and Leaky Relu Part 2
Krish Naik Beginner 6y ago
Tutorial 9- Drop Out Layers in Multi Neural Network
📐 ML Fundamentals
Tutorial 9- Drop Out Layers in Multi Neural Network
Krish Naik Beginner 6y ago
Tutorial 8- Exploding Gradient Problem in Neural Network
📐 ML Fundamentals
Tutorial 8- Exploding Gradient Problem in Neural Network
Krish Naik Intermediate 6y ago
Tutorial 7- Vanishing Gradient Problem
📐 ML Fundamentals
Tutorial 7- Vanishing Gradient Problem
Krish Naik Beginner 6y ago
Tutorial 6-Chain Rule of Differentiation with BackPropagation
📐 ML Fundamentals
Tutorial 6-Chain Rule of Differentiation with BackPropagation
Krish Naik Intermediate 6y ago
Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
📐 ML Fundamentals
Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
Krish Naik Intermediate 6y ago
Tutorial 4: How to train Neural Network with BackPropogation
📐 ML Fundamentals
Tutorial 4: How to train Neural Network with BackPropogation
Krish Naik Intermediate 6y ago
Tutorial 3-Activation Functions Part-1
📐 ML Fundamentals
Tutorial 3-Activation Functions Part-1
Krish Naik Beginner 6y ago
Tutorial 2- How does Neural Network Work
📐 ML Fundamentals
Tutorial 2- How does Neural Network Work
Krish Naik Beginner 6y ago
Tutorial 1- Introduction to Neural Network and Deep Learning
📐 ML Fundamentals
Tutorial 1- Introduction to Neural Network and Deep Learning
Krish Naik Beginner 6y ago
Malaria Disease Detection using Deep Learning
📐 ML Fundamentals
Malaria Disease Detection using Deep Learning
Krish Naik Intermediate 6y ago
How to Read Dataset in Google Colab from Google Drive
📐 ML Fundamentals
How to Read Dataset in Google Colab from Google Drive
Krish Naik Intermediate 6y ago
Finding an outlier in a dataset using Python
📐 ML Fundamentals
Finding an outlier in a dataset using Python
Krish Naik Intermediate 6y ago
Diabetes Prediction using Machine Learning from Kaggle
📐 ML Fundamentals
Diabetes Prediction using Machine Learning from Kaggle
Krish Naik Intermediate 6y ago
How to choose number of hidden layers and nodes in Neural Network
📐 ML Fundamentals
How to choose number of hidden layers and nodes in Neural Network
Krish Naik Intermediate 6y ago
Why, How and When to Scale Features in Machine Learning?
📐 ML Fundamentals
Why, How and When to Scale Features in Machine Learning?
Krish Naik Intermediate 6y ago
Credit card Risk Assessment using Machine Learning
📐 ML Fundamentals
Credit card Risk Assessment using Machine Learning
Krish Naik Intermediate 6y ago
DNA Sequencing Classifier using  Machine Learning
📐 ML Fundamentals
DNA Sequencing Classifier using Machine Learning
Krish Naik Intermediate 6y ago
Tutorial 46-Handling imbalanced Dataset using python- Part 2
📐 ML Fundamentals
Tutorial 46-Handling imbalanced Dataset using python- Part 2
Krish Naik Beginner 6y ago
Tutorial 45-Handling imbalanced Dataset  using python- Part 1
📐 ML Fundamentals
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik Beginner 6y ago
Hyperparameter Optimization for Xgboost
📐 ML Fundamentals
Hyperparameter Optimization for Xgboost
Krish Naik Intermediate 6y ago
Credit Card Fraud Detection using Machine Learning from Kaggle
📐 ML Fundamentals
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik Intermediate 6y ago
Voting Classifier(Hard Voting and Soft Voting Classifier)
📐 ML Fundamentals
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik Intermediate 6y ago
Random Forest(Bootstrap Aggregation) Easily Explained
📐 ML Fundamentals
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik Beginner 6y ago
Stock Sentiment Analysis using News Headlines
📐 ML Fundamentals
Stock Sentiment Analysis using News Headlines
Krish Naik Intermediate 6y ago
Predicting Lungs Disease using Deep Learning
📐 ML Fundamentals
Predicting Lungs Disease using Deep Learning
Krish Naik Intermediate 6y ago
Predicting Heart Disease using Machine Learning
📐 ML Fundamentals
Predicting Heart Disease using Machine Learning
Krish Naik Intermediate 6y ago
K Nearest Neighbour Easily Explained with Implementation
📐 ML Fundamentals
K Nearest Neighbour Easily Explained with Implementation
Krish Naik Beginner 6y ago
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Build your first Machine Learning Pipeline using Dataiku
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AI & Deep Learning Concepts and Applications
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Data Science Companion
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Introduction to Generative AI - Français
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Introduction to Generative AI - Français
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Fundamentals of Machine Learning for Healthcare
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Fundamentals of Machine Learning for Healthcare
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