A python tutorial on bayesian modeling techniques (PyMC3)
-
Updated
Nov 24, 2015 - Jupyter Notebook
A python tutorial on bayesian modeling techniques (PyMC3)
captchaAlternative : Our SIH Project based on machine-learning by which voice captcha codes can be used.
Environment: Python | A simple project - Jupyter Notebook to answer given questions related to various python usage.
This repo is a demo to calculate reference ET at hourly time step based on FAO Penman_Monteith Equation
Movie recommendation using markov process
App that pulls textual data of several posts from social networks and determines the sentiment of these posts.
Codes and datasets for Machine learning for practice
Udacity Data Analyst Nanodegree - Project IV
In this project, we'll be using the stock returns of various banks as a metric for the Financial Health of the Banking Sector during the COVID-19 pandemic
Work for Quantitative Literacy 1.1
Trying my hand at hackerrank challenges
Implementing data structure and algorithm in python
This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.
Using reinforcement learning to train an agent to play frozen-lake.
Speech Recognition using Deep Neural Networks
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Here you will find the easiest method for detection of fraud credit card.
Predicts OLA Fares. Analysed a dataset of more than 10 Lakh entries and Tested it on 1.5 Lakh entries. Test Accuracy Score - 97.27%
Data Set of 2018 and 2019 IPL matches were chosen to predict runs scored by players in 2020. Exploratory Data Analysis was done on data set followed by ensemble model XGBoost to get accuracy of 99.6%
Exploring functional centric designs and patterns in Python
Add a description, image, and links to the juypter-notebook topic page so that developers can more easily learn about it.
To associate your repository with the juypter-notebook topic, visit your repo's landing page and select "manage topics."