Name: MOHAMMED AZEEM
Type: User
Company: Ex. Toyota Industries Engine India Private Limited
Bio: Automotive Industry -Toyota | Industry4.0 | Python | SQL | Advanced Excel | Machine Learning Algorithms | Tableau Desktop.
Twitter: Mohammed_Azeem_
Location: Bangalore ,India
Blog: mohammedaz33m.github.io
MOHAMMED AZEEM's Projects
An Introduction to Artificial Intelligence & Machine Learning
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.
The price of a car is predicted based on various features
A fully RESTful server implementation for CodeIgniter using one library, one config file and one controller.
This contains data analysis projects
From basics of deep learning to the implementation of it on various data set, covered in this Bootcamp.
All the learning material for deep learning bootcamp can be found in this repository
🚀 A repository to encourage beginners to contribute to open source and for all contributors to view their Github stats
Dog breed classifier
Hack with LetsUpgrade is a 36 hours-long program conducted by LetsUpgrade. Exposure to real time projects.
An introduction to the fantastic world of Machine Learning, as well as leverage managed services & cloud computing through Microsoft Azure Machine.
Portfolio website for professional work
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.
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
The IoT Sensor data with timestamp is used to predict the failure of a machine/component by learning from the history of breakdowns.
Consists of sample work
Build & upload Gaussian & Binomial package to the PyPI repository. To use the package use: pip install gbd-probability.
:star: Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.
Consists of SQL related work like Hackerrank solutions, projects etc.
This Repository contains sample work in Tableau & dashboards for various data sets.
Consists of projects from the Nano degree program on Machine Learning using Microsoft Azure