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advanced-machine-learning-engineer-roadmap-2024

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

building-machine-learning-applications-with-gradio

building-machine-learning-applications-with-streamlit

This repo contains a code for deploying ML model using Streamlit

building-ml-applications-with-fastapi

calendar-reminders

An app that creates an event at random day of the month

california-housing-prediction-using-linear-regression

colabtools

Python libraries for Google Colaboratory

customer-churn-modeling

data-science-interviews

Data science interview questions and answers

exploratory-data-analysis-on-the-nyc-parking-tickets-dataset

This project explores the nyc parking tickets data set to glean insights

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lp1-data-analysis-india-startups

machine-learning-engineering

Welcome to the Machine Learning Engineering Repository, a comprehensive collection of resources, code, and insights to guide you through the exciting world of machine learning. This repository is designed to provide valuable information, best practices, and hands-on examples for individuals keen on mastering the art and science of machine learning

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

mind-exercises

mit-intro-to-deeplearning

This project was undertaken to build a highly functional machine learning model that predicts handwritten digits using the mnist_784 dataset

movie-review-sentiment-analysis

This project uses transformers and LLama models to predict viewers' opinions on movies through text classification.

nlp-sentiment-analysis

nyu-dlsp20

NYU Deep Learning Spring 2020

on_simulating_energy_consumption_of_federated_learning_systems

A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protocols, proposed by Mo et. al. Energy consumption is computed during training along with energy consumed by communications between local machines and the server.

project-of-the-week

Learn by doing: DIY project groups at DataTalks.Club

python-algorithms-

All Algorithms implemented in Python

pytorch-examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

question_answering

skills-copilot-codespaces-vscode

Microsoft learn

speech-recognition-with-distil-whisper-v2

sylvester.github.io

sylvester107

Config files for my GitHub profile.

the-regression-project-time-series-forecasting