A Machine Learning project to predict user interactions with social network ads using demographic data to optimize ad targeting

Machine learning algorithms in Dart programming language

This repository contains a project that demonstrates how to perform sentiment analysis on Twitter data using Apache Spark, including data preprocessing, feature engineering, model training, and evaluation.

Gradient Descent is a technique used to fine-tune machine learning algorithms with differentiable loss functions. It's an open-ended mathematical expression, tirelessly calculating the first-order derivative of a loss function and making precise parameter adjustments.

Following and implementing (some of) the machine learning algorithms from scratch based on the Stanford CS229 course.

Recreated Poudlard's Sorting Hat by implementing logistic regression from scratch.

Implementation and in-depth comparative analysis of two foundational machine learning optimization algorithms, Stochastic Gradient Descent (SGD) and Batch Gradient Descent (BGD).

Linear Regression - Batch Gradient Descent

Gradient Descent(From Scratch & With TensorFlow)

Gradient Descent with multiple method: Univariate - Multivariate, Momentum, Batch Gradient Descent, ...

developed a model that can predict air temperature according to atmospheric pressure.

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)

Numerical Optimization for Machine Learning & Data Science

Assignments from the AI course.

Softmax Regression from scratch. MNIST dataset

An easy implementation of the Stochastic / Batch gradient descent and comparison with the standard Gradient Descent Method