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Name: MANISH KUMAR
Type: User
Company: Indian Bank
Bio: Passionate towards Data driven solutions l Master in Computer Science Engg.
Location: kolkata India
Name: MANISH KUMAR
Type: User
Company: Indian Bank
Bio: Passionate towards Data driven solutions l Master in Computer Science Engg.
Location: kolkata India
500 AI Machine learning Deep learning Computer vision NLP Projects with code
This is Andrew NG Coursera Handwritten Notes.
📚 Papers & Tech Blogs by companies sharing their work on data science & machine learning in production.
A curated list of awesome posts, videos, and articles on leading a data team (small and large)
At the end of this project, your code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.
For this project, we will work with the Tennis environment and solve it using RLdeep learning based models for multi-agent continuous controls and actions.
For this project, we will work with the Reacher environment and solve it using RL models for continuous actions/controls.
Our goal will be to have a simple web page which a user can use to enter a movie review. The web page will then send the review off to our deployed model which will predict the sentiment of the entered review.
Data Wrangling & Analysis Project : Involves Programmatical extraction of data from Twitter Archive, additional data from Twitter API, etc and then pre-processing data for future use.
In this project, we'll make use of Python to explore data related to bike share systems for three major cities - Chicago, New York City and Washington. We ll have to code to import the data and answer interesting questions about it by computing descriptive statistics. We will also write a script that takes in raw input to create an interactive experience in the terminal
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
In this project, you'll train an image classifier to recognize different species of flowers. You can imagine using something like this in a phone app that tells you the name of the flower your camera is looking at. In practice you'd train this classifier, then export it for use in your application. We'll be using this dataset of 102 flower categories.
Analyzing received message data for disaster response system
Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.
A capston project of Udacity Machine Learning Algorithm for Dog Breed Classification.
Udacity Data Science Nanaodegree - Disaster Response Pipeline Project
In this project, you'll define and train a DCGAN on a dataset of faces. Your goal is to get a generator network to generate new images of faces that look as realistic as possible!
Generative AI with LLMs by Deep Learning ( Andrew Ng )
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
Build a neural network from scratch to carry out a prediction problem on a real dataset
This project contains a notebook machine_translation.ipynb for the implementation of a deep neural network for an end-to-end machine translation pipeline for an English to French translation.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.