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100-days-of-ml-code

100 Days of ML Coding

26-weeks-of-data-science

Email Newsletter

advanced_linear_regression

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deployment-heroku

Deployment Heroku

descriptive_statistics_project

eda_project

feature_engineering_project

feature_selection_project

final-year-project

Messenger-Bot-For-Business-Interaction : Messenger bot for Business Interaction addresses the growing industry need of automated chat bots and also explores social media and messaging platforms as potential implementation fields. It has the potential to drastically revolutionize customer service industry and can be used for selective marketing. Messenger Bot can be implemented in a wide variety of fields. Bots allow users to interact with services as if they're sending a message to another person. There's a smaller learning curve for the user, bots are simple to connect to, and they are implemented right where 100's of millions of users already spend a lot of their time - inside facebook’s messaging app.

ga_sessions

A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions

git-commands

A list of commonly used Git commands

google-search-api

Python based api for searching google web, images, calc, and currency conversion.

grey-atom---hackathon1

Predict the probability of whether an ad will get clicked or not.

grey-atom---hackathon2

Create Trade forecasts for all items being traded on Antallagma along with the trade prices for a period of 6 months.

greyatom-python-for-data-science

A collection of projects as part of the Python for Data Science program at GreyAtom EduTech Pvt Ltd

handy-sql-commands

Useful SQL commands

have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

inferential_stats_project

intelligent-surveillance-system

INTELLIGENT SURVEILLANCE SYSTEM Consists of Motion Detection Which detects motion from live Camera and face recognition system for face authentication purpose.

linear_regression_project

machine-learning-study-path-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

matplotlib

matplotlib: plotting with Python

nltk-dataset

numpy_advanced_project

palm-print-identification-system

Palmprint Identification is one of the biometrics available at the present. Biometric systems are used to authenticate the identity by measuring the physiological and/or behavioral characteristics. So, the two main categories of biometrics are ‘physiological’ and/or ‘behavioral’. The physiological category includes the physical human traits such as palmprint, hand shape, eyes, veins, etc. The behavioral category includes the movement of the human, such as hand gesture, speaking style, signature etc. The measurement of these traits helps in authentication using the biometric systems. One of the most successful biometric systems is the palmprint Identification system. This system recognizes on the basis of the palm print of a person. It is reliable due to the fact that the print patterns are always unique, even in the monozygotic twins. The interesting part is that the ridge structure is permanent. This ridge structure is formed at about the thirteenth week of the embryonic development. This formation gets completed by the eighteenth week. The palmprint Identification system has advantages over the other physiological biometric systems. Some of the advantages are fixed line structure, low intrusiveness, low cost capturing device, low resolution imaging. Thus palmprint identification is a very interesting research area. A lot of work has already been done in this area, but there is still a lot of scope to make the systems more efficient. Here, we have tried to analyze the already existing systems and thereby propose a new approach.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas_project

pentation-analytics

py-books

A collection of Python books 📖