lakshmisay Goto Github PK

aruna

aruna12

basic-data-descriptors-and-data-distributions

Access week 1 solution from the attached jupyter file

business-applications-of-hypothesis-testing-and-confidence-interval-estimation

cab_booking

Cab booking system is the process where renting a cab is automated through an app throughout a city. Using this app,people can book a cab from one location to another location. Being a cab booking app company, exploiting theunderstanding ofcab supply and demand could increase the efficiency of their service and enhance user experience by minimizing waiting time.Objective of this project is to combine historical usage pattern along with the open data sources like weather data to forecast cab booking demand in a city.

chatbot

cheetsheets-fyi

data-scientist-interview

dataset-october-28

datasets

A collection of datasets of ML problem solving

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deepracer

diabetes_prediction-master

diabetes_prediction_90-accuracy

ds-python

DS - Python, Data manipulation

finished-courses-in-coursera

getting-started-with-tensorflow

getting-started-with-tensorflow-2

instagram-filters

A small notebook for some instagram filter implementations using image processing techniques using opencv python3

instance_seg

intro-to-data-science-in-python

Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera

introduction-to-data-science-in-python

Assignments and Resources for Introduction to Data Science in Python course on Coursera by University of Michigan

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning-coursera

This repository contains the assignments for the Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning.

jupyter

Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

learnt-projects-in-coursera

machine-learning-classification-models

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machine_learning

machine_learning_projects

Making predictions using logistic regression, naive Bayes, random forest, CNN, RNN and more