Week 2 recap of the 100 Days of Machine Learning Challenge. Follow the journey as we explore machine learning, deep learning, and NLP, mastering powerful algorithms, and tackling real-world datasets.
Dive into the world of word embeddings and understand how GloVe and Word2Vec models capture word meanings. Learn how to preprocess text, train, and visualize word embeddings with Python.
Dive into the exhilarating first week of the 100 Days of ML Journey, where I explore Python basics, data visualization, deep learning, and convolutional neural networks while building real-world projects each day.
Discover how to master gradient descent for simple linear regression in Python. Follow this comprehensive guide to understand the optimization process, implement the algorithm, and visualize the results.
Delve into the world of deep learning as we reveal the secrets behind RoadSavior, a game-changing machine learning model that could transform how we respond to disasters and save lives by accurately detecting roads in satellite images.
With a focus on predicting train derailments and hazardous spills, this project explores the world of rail safety and environmental protection.