Pinned Repositories
bones
Online IDE like VSCode with real time collaboration, intellisense, and access management
camps-for-champs
A camping service where you find place to relax, connect with nature, and yourself.
craft
A place where professionals share their thoughts and ideas regarding the craft they're passionate about.
curtains
Video streaming 🎥 front-end build using the server components of Next.js 13 `app` & Tailwind CSS.
knightfall
Responsive web app to play chess with other players matched based on rankings, real-time notifications, and chat with friends.
owl
An 📺 online platform for limitless learning without any distraction. If you are an 👨🏫 instructor, then good, you can sell courses. If you are a 👶 student, then great, you can be anywhere, at any time of the day, you’ll have a seamless experience.
reader
Social blogging community build with React, Next.js, and Firebase.
salt
Everything you need for your 🤤 greedy stomach. Beautiful app for buying 🛒 groceries and blogging 📝 about food-related content.
steker
😁 Using Flutter and Firebase to make cross-platform mobile app used to add sticker collections to your WhatsApp
stripe-express-rest-apis
Express APIs are built for using different services provided by Stripe and also integrating Firebase with Stripe and Express. For frontend React JS is used.
AkashSDas's Repositories
AkashSDas/steker
😁 Using Flutter and Firebase to make cross-platform mobile app used to add sticker collections to your WhatsApp
AkashSDas/clustering-weather-stations-in-usa
Using DBSCAN clustering algorithm to make clusters of weather stations of USA.
AkashSDas/battle-of-neighbourhoods-in-manhattan
Using Data Science and Machine Learning techniques to know the Neighbourhoods of Manhattan City whose location is retrieved using FourSquare API.
AkashSDas/biO
AkashSDas/classify-benign-or-malignant
Classification model that can predict whether a tumor is Benign or Malignant.
AkashSDas/classify-sentiments-in-text-using-tensorflow
Classifying sentiments in text by using Word Embedding and the model is built Tensorflow2.
AkashSDas/clg_snippets
AkashSDas/connect-onboarding-for-standard
Stripe Sample to show you how to use Connect Onboarding for Standard for seamless user on-boarding with Stripe Connect.
AkashSDas/custom_django_user_api
AkashSDas/customer-survey-on-age-reversing-medicine-eda
Customer survey data are used to get answers for business problems.
AkashSDas/dart_code_snippets
📘 Code snippets for 🦄 Dart language
AkashSDas/drugs-classifier-using-decision-tree
Building a drugs classifier using decision tree.
AkashSDas/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
AkashSDas/go_code_snippets
AkashSDas/gScanner
AkashSDas/horoscope
AkashSDas/java_code_snippets
Code snippets for 🌈 Java language
AkashSDas/jelly-scroll
Easily add JellyScroll effect to your websites.
AkashSDas/medium-articles-eda
In dept EDA using Medium Articles metadata dataset from Kaggle.
AkashSDas/movielens-recommendation-system
Using the movies names and their ratings dataset to build Content Based Recommendation System and Collaborative Filtering System.
AkashSDas/nextjs_code_snippets
AkashSDas/pool_service
AkashSDas/predict-house-prices-in-depth-eda
In depth EDA on Ames Housing dataset from Kaggle and Regression model to predict house prices.
AkashSDas/predict-hr-stay-or-leave
Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.
AkashSDas/predict-students-grades
Performing EDA and creating regression model to predict students final grades.
AkashSDas/react_code_snippets
AkashSDas/slideshow
AkashSDas/superCHAT
Single group chat app built using React and Firebase where Firestore is the database
AkashSDas/text-generation
Text generation model built using Tensorflow2 and trained on TPU. The model is multilayer Bidirectional LSTM.
AkashSDas/tmdb-movies-recommendation-system
Using TMDB movies dataset to create demographic based, content based and collaborative filtering based recommendation systems.