Pinned Repositories
10pythonApp
Creating 10 python apps
26-Days-of-DataScience
This repository contains Jupyter Notebook and some great resources to learn data science.
Customer-Segmentation-DSND
This is the third project of Data Scientist Nanodegree. In This Project, We will apply unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany.
data-science-interviews
Data science interview questions and answers
dsnd-finding_donors
Project: Finding Donors for CharityML
machine-translation
Natural Language Processing and Machine translation pipeline. Models to translate between languages.
matplotlib-visualization
This repository contains some demo of how to use matplotlib as powerful visualization tool pydata stack.
NLP-With-Python
This is some of my work and learning on all the topic under Natural Language Processing.
NYC-Subway-Data-Analysis
Udacity Project of Big Data Foundation Nanodegree
meetbharat's Repositories
meetbharat/26-Days-of-DataScience
This repository contains Jupyter Notebook and some great resources to learn data science.
meetbharat/NYC-Subway-Data-Analysis
Udacity Project of Big Data Foundation Nanodegree
meetbharat/10pythonApp
Creating 10 python apps
meetbharat/data-science-interviews
Data science interview questions and answers
meetbharat/pandas_exercises
Practice your pandas skills!
meetbharat/resume-parser
Python Code to parse information such as Name, Email, Phone Number, skillset from Resume
meetbharat/text_classification
Text classification and auto summrization
meetbharat/wikipedia101
Wikipedia search app which will give you number of result for given words
meetbharat/Customer-Segmentation-DSND
This is the third project of Data Scientist Nanodegree. In This Project, We will apply unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany.
meetbharat/dsnd-finding_donors
Project: Finding Donors for CharityML
meetbharat/machine-translation
Natural Language Processing and Machine translation pipeline. Models to translate between languages.
meetbharat/matplotlib-visualization
This repository contains some demo of how to use matplotlib as powerful visualization tool pydata stack.
meetbharat/NLP-With-Python
This is some of my work and learning on all the topic under Natural Language Processing.
meetbharat/aipnd-project
2nd Project of Data Scientist nanodegree. In This project the task was to create a flower image Classifier.
meetbharat/AppliedAICourseNote
meetbharat/ASL-Recognition-with-Deep-Learning
A convolutional neural network to classify images of American Sign Language (ASL) letters
meetbharat/bharat-dsdev.github.io
meetbharat/courses-and-coursenotes
This repo contains some practice of courses and course notes
meetbharat/DataCamp_Projects
meetbharat/Disaster-Response-Pipelines
There are three components of this project, ETL Pipeline ,ML Pipeline and web App
meetbharat/dog-breed-classification
The aim of the project in the Data Scientist nanodegree is to create a web application that is able to identify a breed of dog if given a photo or image as input. If the photo or image contains a human face, then the application will return the breed of dog that most resembles this person
meetbharat/hackerearth-ml6
Determining the degree of damage that is done to buildings post an earthquake can help identify safe and unsafe buildings, thus avoiding death and injuries resulting from aftershocks. Leveraging the power of machine learning is one viable option that can potentially prevent massive loss of lives while simultaneously making rescue efforts easy and efficient.
meetbharat/mining-data-images
Data mining techniques on imagedata
meetbharat/MNIST-Digit-Classification
CNN with Keras on MNIST dataset for Digit-Classification
meetbharat/Padh-AI
Padh-AI course notes
meetbharat/Recommendations_with_IBM
We will build a recommendation engine based on user behavior and social network data, to surface content most likely to be relevant to a user.
meetbharat/secure-priviate-ai
meetbharat/The-Hottest-Topics-in-Machine-Learning
In this Project, We have analyze a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning. The techniques used here to handle large amounts of data can be applied to other text datasets as well.
meetbharat/titenic-inclass
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 is the analysis of what sorts of people were likely to survive by using ML.
meetbharat/vgsales-analysis
Using the Cross-Industry Standard Process of Data Mining (CRISP-DM), we are analysing this dataset which contains a list of video games with sales greater than 100,000 copies