Build a Simple Recurrent Neural Network Using PyTorch | Depth Analysis | Deep Learning | PyTorch

Build a Simple Neural Network Using PyTorch | Deep Learning | PyTorch

Russia-Ukraine war - Tweets Analysis | Machine Learning Projects for Beginners | #16

Math behind Training a single Neuron | Lec 8 | Neural Networks and Backpropagation | Deep Learning

Understand Notations | Lec 7 | Introduction to Neural Networks and Backpropagation | Deep Learning

Complex Math. Function | Lec 6 | Introduction to Neural Networks and Backpropagation | Deep Learning

Introduction to MLP | Lec 5 | Introduction to Neural Networks and Backpropagation | Deep Learning

Log. Reg vs Perceptron | Lec 4 | Introduction to Neural Networks and Backpropagation | Deep Learning

Work and Growth | Lec 3 | Introduction to Neural Networks and Backpropagation | Deep Learning

Various Applications | Lec 2 | Introduction to Neural Networks and Backpropagation | Deep Learning

History and Motivation | Lec 1 | Introduction to Neural Networks and Backpropagation | Deep Learning

Uber Trips Analysis | Machine Learning Projects for Beginners | #15

Language Classification | Machine Learning Projects for Beginners | #14

Titanic Survival Prediction | Machine Learning Projects for Beginners | #13

Book Recommendation System | Machine Learning Projects for Beginners | #12

SMS Spam Detection | Machine Learning Projects for Beginners | #11

Resume Screening | Machine Learning Projects for Beginners | #10

US Election Sentiment Analysis using tweet | Machine Learning Projects for Beginners | #9

Web Scraping | Machine Learning Projects for Beginners | #8

Predict Diabetes | Machine Learning Projects for Beginners | #7

Make a Simple Chatbot | Machine Learning Projects for Beginners | #6

Text Summarization | Machine Learning Projects for Beginners | #5

Covid-19 Vaccines Analysis | Machine Learning Projects for Beginners | #4

WhatsApp Chat Sentiment Analysis | Machine Learning Projects for Beginners | #3

Google Search Analysis | Machine Learning Projects for Beginners | #2

World Billionaires Analysis 2021 | Machine Learning Projects for Beginners | #1

Data Science Life Cycle | Productionization and Deployment of ML Models | EP #10

Vapnik–Chervonenkis(VC) Dimension | Productionization and Deployment of ML Models | EP #9

AB testing | Productionization and Deployment of ML Models | EP #8

Productionizing Models | Productionization and Deployment of ML Models | EP #6

Retraining Models Periodically | Productionization and Deployment of ML Models | EP #7

Modeling in the presence of outliers: RANSAC | Productionization and Deployment of ML Models | EP #5

Isotonic Calibration | Productionization and Deployment of ML Models | EP #4

Platt’s Calibration Scaling | Productionization and Deployment of ML Models | EP #3

Calibration Plots | Productionization and Deployment of ML Models | EP #2

Why need for Calibration ? | Productionization and Deployment of ML Models | EP #1

Feature Slicing | Feature Engineering | EP #15

Domain Specific Featurization | Feature Engineering | EP #16

Feature Orthogonality | Feature Engineering | EP #14

Model Specific Featurization | Feature Engineering | EP #13

Mathematical Transformation | Feature Engineering | EP #12

Interaction Variables | Feature Engineering | EP #11

Feature Binning | Feature Engineering | EP #10

Indicator Variables | Feature Engineering | EP #9

Relational Data | Feature Engineering | EP #7

Graph Data | Feature Engineering | EP #8

Image Histogram | Feature Engineering | EP #5

Keypoints SIFT | Feature Engineering | EP #6

Deep learning features (LSTM) | Feature Engineering | EP #4

Fourier Decomposition | Feature Engineering | EP #3

Moving Window for Time Series Data | Feature Engineering | EP #2

Types of Data | Feature Engineering | EP #1

Avg-Word2Vec, tf-idf weighted Word2Vec | Natural Language Processing | EP #8

Word2Vec | Natural Language Processing | EP #7

Why use log in IDF ? | Natural Language Processing | EP #6

Term Frequency(TF), Inverse Document Frequency(IDF) | Natural Language Processing | EP #5

Uni-gram, Bi-gram, n-grams | Natural Language Processing | EP #4

Text Pre-processing Stemming | Natural Language Processing | EP #3

Bag of Words (BoW) | Natural Language Processing | EP #2

Why convert text to a vector ? | Natural Language Processing | EP #1