500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

air-quality_index

anshulsingh.github.io

This is my personal website

anshulsingh8101

ascian_solution

awesome-profile-readme-templates

A collection of awesome readme templates to display on your profile

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

book-recommendation-system

A project to scrape data and build a recommendation system.

books_recommendation

car-price-prediction-web_app

When a user inputs certain details about the car of his choice on the web application made through flask, then he can eventually get the price predicted for him on that basis by the model.

coding-interview-university

A complete computer science study plan to become a software engineer.

cotton-disease-prediction-web_app-transfer-learning

Using transfer learning to predict if there exists a cotton disease in the plant or not. The best were the inceptionv3 model and the ResNet50 model and then finally made a model for the web using flask for an end-to-end deployment of this project.

credit_card-risk-assessment

This ipynb file is having the timer and the XGboost for quick cut-paste.

data-science-hackathon-and-competition

Top 10 in MachineHack | Top 80 in AnalyticsVidya & Zindi | Hack AI

developer-roadmap

Roadmap to becoming a web developer in 2021

face-recogniszer-with-attendance-system

A face recognition model built using Open CV and face-Recognition libraries for marking the attendance of known students into a CSV file.

fake_news_classifier

feature-selection-techniques

fedsea-internship

finger_count

Finding the number shown up using opencv, that which number is actually being held up.

flight-fare-web-app-with-priceprediction

A Web App that helps to predict the price of the Airplane based on the destination date, travel day, source, destination, and which flight the user prefers. I have used the Random Forest model with hyperparameter tuning which gave me the best results for the predictions.

flipr-hackathon-covid-case-study

forecasting_sales_for_future

Applying the ADfuller test on the Perrin-Freres-monthly-champagne dataset to check whether my data is stationary or not and eventually applying differencing method and creating 23 months extra date, to use it for the Sarimax model to predict sales for the next 23 months on the p,d, q values respectively.

front-end-interview-handbook

🕸 No-bullshit answers to the famous h5bp "Front-end Job Interview Questions"

frosthack_updates

fusion

gym-fraud_deep-reinforcement

💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.

hackathon

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

message-spam-classifier