musabbirsaeed's Projects
I have written Machine learning equations from scratch in python using Andrew Ng Coursera dataset. Andrew-Ng-Coursera-Machine-learning-in-Python.
Macro counter and nutrition label generator using the Edamam API with Python and JavaScript
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
A python library for user-friendly forecasting and anomaly detection on time series.
10 Weeks, 20 Lessons, Data Science for All!
Utilizing data science tools such as MapReduce, Spark, SQL, Networkx, NLP, etc to analyze social media posts, yelp reviews, music audios, stack exchange users, time series data, etc.
Challenge questions for The Data Incubator
Notes for Deep Learning Specialization Courses led by Andrew Ng.
CSV files and code for weekly updates
Compilation of resources and insights that helped me on my journey to data scientist
A Markdown Based Python Blog Engine as a Flask Extension.
Basic template for using Flask on Heroku
Flask Hello name to heroku
Flask Heroku Sample Application
Flask heroku git demo
Graph of Food additives
A nutrition tracking application using nutritionix api and clarifai api.
Household power consumption modeling (time-series modeling)
A library to create multi-page Streamlit applications with ease.
Facebook Messenger bot that interacts with Edamam's Food API
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
GitHub Pages