akshaymalviya Goto Github PK

aws-sagemaker-rekognition

Face Detection with AWS Sagemaker

client_authentication_tp

data-science--cheat-sheet

Cheat Sheets

django-blog

Django based web application for blogging

django-pyodbc-azure

Django backend for Microsoft SQL Server and Azure SQL Database using pyodbc

get-into-python

My own practice of python examples

get-into-ruby

Handon in Ruby with examples

get-into-tensorflow

My handson experinece on Tensorflow

github-slideshow

A robot powered training repository :robot:

gui-tkinter

A desktop application which show the live twitter streaming data in grid.

ml-best-classification

This project was the part of my Coursera Assisgement(https://www.coursera.org/learn/machine-learning-with-python/) in which I compare the different classification alogirthms like KNN, Linera Regression, Support Vector Machine, Decision Tree.

mnist-digit-recognition

MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Using computer vision fundamentals including simple neural networks, classification methods such as SVM and K-nearest neighbors.

practicalai

A practical approach to learning machine learning.

python

All Algorithms implemented in Python

titanic-survival-problem

This project uses machine learning to create a model that predicts which passengers survived the Titanic shipwreck. Here I used Random Forest Classifier and Linear Regression Algorithm for predicting the survivors' list.

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

twitter-sentimental-analysis

This project is the Sentimental Analysis of Twitter about any keywords. All the searching are performing by Tweepy and Data Visualization by matplotlib. For storing the data I am using MS SQL Server.

wedlock-the-booking-gateway

Wedlock is the solution for the retail industry where the small vendors can used as a service platform to open up there busniess over the internet for the booking of Banquet, Party Halls, Catering Services, Music etc.