muhammadanas0716 / machine-learning-101

Data Science, Machine Learning, and Deep Learning. Projects, Tutorials and Cheatsheets.

Muhammad Anas

About Me

I'm Muhammad Anas, a 15-year-old student passionate about Machine Learning and exploring its vast potential.... I'm always keen on collaborating with other creators and professionals to bring innovative ideas to life.

🌟 My Journey in 2023

• 🌱 Deep diving into Machine Learning & Deep Learning.
• 🤝 Looking forward to collaborating with like-minded professionals.
• 🚀 Goal: Develop Nexly, an all-in-one SaaS tool for brainstorming, planning, and marketing targeted at small teams and SaaS founders.
• 📈 Aiming to grow my Twitter audience to 10k followers (currently at 2.7k)
• 📚 Challenge: Read 30 books to broaden my perspectives, especially in philosophy.

What People Say About Me

• "Insanely talented for your age, Muhammad. Keep it up, onwards and upwards 🚀" - Shubham Saboo, Author of GPT-3: Building Innovative NLP Products using LLMs
• "Impressed with your blog, GitHub, and YouTube account!" - Patrick Loeber, YouTuber with 250k+ subscribers

Connect with Me

Github Trophies 🏆

Languages and Tools

machine-learning-101's Issues

Sales Prediction Comparison and prediction of Phone for two different stores

*What is the awesome project you're thinking of?
The objective of this project is to calculate and compare how much each store sold in total, by brand and how much the company made in that year. By managing the data itself, conclusions can be drawn and assumptions can be made. However, test yourself and do Machine Learning to predict the future sales considering factores like minimum country wage, phone upgrades resulting in new phones and lower prices for the existing models, the location of the store, etc.
Deployment with flask.

Additional context
Any other details, like the dataset link, etc.

Area Under the Precision-Recall Curve (AUPRC)

*What is the awesome idea you're thinking of?
Add this feature: Area Under the Precision-Recall Curve (AUPRC) for the Credit Card Fraud Detection Project: https://github.com/muhammadanas0716/Machine-Learning-Projects-101/blob/main/Credit%20Card%20Fraud%20Detection/Credit%20Card%20Fraud%20Detection.ipynb

Additional context
Sklearn Docs: https://scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html#sphx-glr-auto-examples-model-selection-plot-precision-recall-py

Bengaluru Real Estate Price prediction model with flask deployment.

*What is the awesome project you're thinking of?
Bengaluru Real Estate Price prediction model with a web app made with flask.

Additional context
Kaggle dataset: https://www.kaggle.com/amitabhajoy/bengaluru-house-price-data

Titanic Spaceship Project

*What is the awesome project you're thinking of?
This is a beginner machine learning project, a classification problem to be precise.

Additional context
All the problem details can be found here: https://www.kaggle.com/competitions/spaceship-titanic/overview/description

BigMart Sales prediction Model with flask deployment.

*What is the awesome project you're thinking of?
Predict the Sales of Big mart and deploy web app with flask.

Additional context
https://www.kaggle.com/aakash2016/big-mart-sales-dataset/download

Used Car Price prediction Model with deployment on flask.

*What is the awesome project you're thinking of?
Predict the price of an unknown car.

Additional context
training data: https://www.kaggle.com/datasets/avikasliwal/used-cars-price-prediction?select=train-data.csv

Cheat sheets

Make cheat sheets for Python to help people with certain terms, and make a cheat sheet for machine learning terms, and examples. Also examples on the Python cheat sheet also.

Contribute my cyber bully classification web-app

*What is the awesome project you're thinking of?
Cyber-Bully Tweet Classification Web-App

Sentiment Analysis using Logistic Regression with complete tutorial document.

Sentiment Analysis of texts using Logistic Regression.
This methodology will be written in Python3. I would like to use Twitter Dataset to Train the model!

Applications:

• Sentiment Prediction in Chats.
• Sentiment Prediction in Social Media Posts.
• Sentiment Prediction in Comments in Blogs, News, etc.

Please assign the task to me!
Happy Hacking Folks!

Build a predictive model which can predict the size of cloth for a customer

*What is the awesome project you're thinking of?
The most important motivation behind this was to get the size predicted to avoid any problems while buying clothes.
Deployment with flask. (web app)

Additional context
Dataset

Rock or Mine Prediction

*What is the awesome project you're thinking of?
A simple beginner friendly prediction model which is prediction whether the sonar detected object is a rock or a mine.

Bike Rental Count Prediction with deployment on flask

*What is the awesome project you're thinking of?
Predicting Bike sharing demand and deployment on flask

Additional context
https://www.kaggle.com/datasets/lakshmi25npathi/bike-sharing-dataset?select=day.csv