mohammedaz33m Goto Github PK

-letsupgrade-ai-ml

An Introduction to Artificial Intelligence & Machine Learning

ai-ml-july-2020

aws_sentiment_analysis_deployment

In this project I have used the IMDb movie review to predict the sentiment of users. The amazon web service is used for training & deployment.

car-price-prediction

car_price_prediction

The price of a car is predicted based on various features

codeigniter-restserver

A fully RESTful server implementation for CodeIgniter using one library, one config file and one controller.

dataanalysisprojects

This contains data analysis projects

deep-learning-bootcamp--dphi

From basics of deep learning to the implementation of it on various data set, covered in this Bootcamp.

deep_learning_bootcamp

All the learning material for deep learning bootcamp can be found in this repository

developer-community-stats

🚀 A repository to encourage beginners to contribute to open source and for all contributors to view their Github stats

dog_app

Dog breed classifier

hackathon-letsupgrade

Hack with LetsUpgrade is a 36 hours-long program conducted by LetsUpgrade. Exposure to real time projects.

microsoft-scholarship-foundation-course-nanodegree-program-udacity

An introduction to the fantastic world of Machine Learning, as well as leverage managed services & cloud computing through Microsoft Azure Machine.

ml-projects

mohammedaz33m.github.io

Portfolio website for professional work

nd00333_azmlnd_optimizing_a_pipeline_in_azure-starter_files

plagiarism-detector

A plagiarism detector that examines an answer text file and performs binary classification, labeling that file as either plagiarized or not, depending on how similar that text file is to a provided, source text.

population-segmentation-with-sagemaker

Using unsupervised learning algorithms to do population segmentation. Population segmentation aims to find natural groupings in population data that reveal some feature-level similarities between different regions

predictive-maintenance-

The IoT Sensor data with timestamp is used to predict the failure of a machine/component by learning from the history of breakdowns.

projects

Consists of sample work

python-package-on-pypi

Build & upload Gaussian & Binomial package to the PyPI repository. To use the package use: pip install gbd-probability.

repo-badges

:star: Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.

rsharankumar

sql-

Consists of SQL related work like Hackerrank solutions, projects etc.

tableau_projects

This Repository contains sample work in Tableau & dashboards for various data sets.

udacity_microsoft-azure_nanodegree_project

Consists of projects from the Nano degree program on Machine Learning using Microsoft Azure