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30-days-of-react

30 Days of React challenge is a step by step guide to learn React in 30 days. This challenge needs an intermediate level of HTML, CSS, and JavaScript knowledge. It is recommended to feel good at JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS.

a4ayub-job-retrieval-chatbot

Building a retrieval based chatbot from scratch.

ad-clicking-eda-wtih-r

Identifying which individuals are most likely to click on her ads.

ai-for-medical-diagnosis

This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine

ai-in-medicine

COURSERA : AI for Medical Diagnosis - Convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders. AI for Medical Prognosis - Risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis. AI in Medical Treatment - Treatment effect predictor, model interpretation techniques and natural language processing to extract information from radiology reports.

ai-projects

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

androidmpesaapi

Android MPESA SDK Library - Dubbed Daraja

anga

A simple web app hosting a plant disease classifier built with pytorch and fastai, the dataset used was the plant village dataset containing 38 classes of plant diseases

app-ideas

A Collection of application ideas which can be used to improve your coding skills.

blockchain-developer-bootcamp

Open-source version of ConsenSys Academy's Blockchain Developer Bootcamp

boosting-in-python

breast-cancer-detection

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X). To date, it contains 2,480 benign and 5,429 malignant samples (700X460 pixels, 3-channel RGB, 8-bit depth in each channel, PNG format). This database has been built in collaboration with the P&D Laboratory - Pathological Anatomy and Cytopathology, Parana, Brazil.

chexpert

Top 1 solution of Chexpert

clearml-projects-and-tutorials

co-op-management-system

[ONGOING] Web Development for Co Op Management System for NITK Co-Operative Society. Project done under IEEE Envision for Student Members.

creditcard-default-prediction-model-deployment-using-flask

Credit Card default Prediction using Flask.

crowdsourcingml

customer-segmentation-in-r

customer-spending-in-kenyan-supermarkets-independent-project

Hypothesis Testing of the comparison between Customer spending during weekdays and weekends using Python

darknet

Convolutional Neural Networks

data-analysis

Data Science Using Python

data-analysis-in-python

Data Cleaning and Data Analysis

datascienceresources

Open Source Data Science Resources.

datasets

Datasets used in Plotly examples and documentation

delani_studio_site

This project demonstrates forking to Moringa Prep students

demo-uber-nyc-pickups

A Streamlit demo to interactively visualize Uber pickups in New York City

deploy-bert-for-sentiment-analysis-with-fastapi

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

deploy-web-apps-using-google-colab-and-ngrok

deploying-a-deep-learning-model-to-heroku-using-flask

deployment-demo

Repo used for the zoom call demo for computer vision model deployment built using fastai