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

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

advance-rest-apis-with-flask

This repo is focused on developing RESTful APIs with Flask, SQLAlchemy, (de)/serializing with Marshmallow, advance email confirmations, image uploads, database migrations, third party login with OAuth, Incremental feature delivery and payments with Stripe. Read the API Documentation and play with the API in Postman here 👇

alexa-reviews-sentiment-analysis

This repository's notebook provides the insight of customer reviews on Amazon's kid Alexa, by data visualization, sentiment analysis and classification using NLP techniques.

automated-quick-eda-with-sweetviz-

INTRODUCTION TO PYTHON'S SWEETVIZ LIBRARY Sweetviz is an open source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with a single line of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Make sure you visit sweetviz.PyPI to explore more, and also consult and go through documentation of this library. DATASET USED FOR EDA : I have used train and test datasets from the "House Prices: Advanced Regression Techniques" competition hosted by KAGGLE, for performing the EDA. You can find the datasets at the following link redirected to KAGGLE : https://www.kaggle.com/c/house-prices-advanced-regression-techniques

coding-interview-university

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

covid19-detection-using-x-rays-webapp

In this repo, you will see how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.

covid19-eda-india

COVID-19 is an infectious disease caused by the Corona Virus, biologically known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in Wuhan, the capital of China's Hubei province in December 2019 and has spread all over the world since then. As of writing this, on 26th April 2020, 21:57 IST, there are 2.92 million confirmed cases throughout the world and has resulted in 204,000 deaths according to Google. In this notebook, I will take a look at the current situation in India. We will take a look at the regions which are most hampered by the outbreak and how numbers have steadily climbed in the country. PROGRAMMING LANGUAGE AND MODULES INCLUDED IN THIS PROJECT : PROGRAMMING LANGUAGE - Python 3x(3.7.8) PYTHON LIBRARIES - Numpy, Pandas, Matplotlib, Seaborn Author - Sukanya Bag Project done during - 1st July 2020 to 5th July 2020

credit-card-anomaly-detection

Machine Learning - Credit Card Fraud Detection Introduction The objective in this project is to build machine learning models to classify or identify fraudulent card transactions from a given card transactions data. Data Description The dataset contains two-days credit card transactions made in September 2013 by European cardholders. The dataset is highly unbalanced with a low percentage of fraudulent transactions within several records of normal transactions. The positive class (frauds) account for 0.172% (492 frauds out of 284,807 transactions) of all transactions. Features V1, V2, ... V28 are the principal components obtained with PCA, the only features which have not been transformed with PCA are 'Time' and 'Amount'. Feature 'Time' contains the seconds elapsed between each transaction and the first transaction in the dataset. Feature 'Class' is the target variable with value 1 in case of fraud and 0 otherwise. Dataset source - Kaggle Author - Sukanya Bag , Date - 1st July, 2020

dart-programming-samples

Repo contains Dart code samples useful for learning Dart.

data-analysis-internship

data-science-cheatsheet

datacamp-case-studies

This repository contains the codes and datasets of various data science projects completed by me. These project tasks are a part of DataCamp's "Data Scientist with Python" career track.

deep-learning-for-nlp-stanford-xcs224n-

Stanford XCS224N - Deep Learning for NLP

deployment-flask

detecting-contradictions-and-entailment-in-multilingual-text

A case study of NLI ( Natural Language Inferencing) with Transfer Learning. Kaggle Competition Rank - 18th (Global)

dsa-and-problemsolving

Trying to cover the most asked coding questions at PBCs along with DSA implementations. (Striver + NeetCode SDE Sheet ONGOING)

examples

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

fake-news-classifier--nlp

fastbook

The fastai book, published as Jupyter Notebooks

feature-engineering-live-sessions

flutter

Flutter makes it easy and fast to build beautiful apps for mobile and beyond

gcp-ai-notebooks

This repository contains all practice notebooks with which I performed hands-on labs in Google Cloud Training Program's "Cloud ML-AI Track"

gpt2

PyTorch Implementation of OpenAI GPT-2

great-deep-learning-tutorials

A Great Collection of Deep Learning Tutorials and Repositories

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

interview-question-data-science-

java-oop-lab-programs

This repo contains some boring java programs. Never mind 😑

leetcode_company_wise_questions

This is a repository containing the list of company wise questions available on leetcode premium

machine-learning-in-90-days

machine-learning-internship-project---bg-removal-webapp

Contains the source code of developing a background removal app, with Google's TensorFlow.js BodyPix module. Implemented with JavaScript and Tensorflow framework (ML- internship Business Project)