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animal-kingdom

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

basics-of-feature-engineering-and-hyperparameter-tuning

This repository contains short and lucid examples on how to implement feature engineering on your machine learning problem.

bookish

This project keeps track of the books that you're reading, want to read or those that you've completed.

c-101

This repository contains some of the codes of important topics in C Programming language.

cats-vs-dogs-image-classifier

This project is based on computer vision and you'll know how to use pre-trained networks to solved challenging problems. Here, we strive to classify images of cats and dogs and label them successfully as "Cats" or "Dogs" with our algorithm.

competitive-programming-with-cpp

This repository contains different levels of competitive programming questions and codes solved in C++

data-analytics-gladiator

This project consists of 3 phases which are: 1) Performing Principal Component Analysis on the IRIS data set, 2)Plotting the data points after performing Principal Component Analysis, 3)Using k-nearest neighbour method to predict the accuracy of a species falling into which class. Enjoy!

data-science-projects-with-python

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

datascienceprojects

A number of data science projects, as published at https://medium.com/@tuandoan.nguyen

detecting-deceptive-reviews

Detecting Deceptive Reviews using Natural Language Processing.

facial-expression-recognition

This project leverages the power of Tensorflow & Keras to recognize facial expression of the person(s) in videos and images or through web camera.

fashion-apparels-classifier

This mini-project involves classifying various apparels by assigning some label after training the model using a neural network.

game-of-stars

Created with CodeSandbox

getting-started-in-face-detection

This repository contains basic techniques and minimal code to detect faces in images and webcams.

getting-started-with-adobe-xd

This repository contains the prototyping files to implement an app mock-up.

getting-started-with-opencv

This repository contains basic concepts and techniques used in Computer Vision while implementing it with OpenCV.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

intro-to-data-visualization

This repository contains various code snippets using different datasets to give you a brief overview about Data Visualization techniques.

machine-learning-from-scratch

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.

mental-maths

Created with CodeSandbox

optical-digit-recognition

This repository contains the source code to built an Optical Digit Recognition model and all the steps on how to deploy the model using an android app.

running-elasticsearch-fun-profit

A book about running Elasticsearch

sentence-sentiment-classification-using-distilbert

This repository uses DistilBERT for Sentence Sentiment Classification with improved results than BERT

stocking-rental-bikes-using-bqml

This mini-project is created using BQML (BigQuery Machine Learning) which predicts how many riders will start from each station during each hour, capturing patterns in seasonality, time of day, day of the week, etc.

study-of-user-features-and-social-networks-for-topic-modeling

This repo contains all the codes and other important stuffs related to our final semester project.

supervised-learning-with-scikit-learn

This repository contains all the solutions for exercises for the course in DataCamp.

titanic-machine-learning-from-disaster

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.

unsupervised-learning-in-python

This repository contains all the solutions for the exercises in the DataCamp course.

unsupervised-learning-with-scikit-learn

This repository contains the solutions for all exercises in the DataCamp course.