sheikmohamed1987 Goto Github PK
Name: Sheik Mohamed
Type: User
Bio: Tech Lead Big data engineering
Location: Chennai, India
Name: Sheik Mohamed
Type: User
Bio: Tech Lead Big data engineering
Location: Chennai, India
Azure Architecture Center
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
AZ-204: Developing solutions for Microsoft Azure
Stream processing with Azure Databricks
Azure Functions Python Sample Codes
Capstone Project - California Housing Price Prediction: Used linear, DT, ensemble regression techniques (Random Forests), feature scaling and feature engineering using Principal component Analysis (PCA); achieved minimal RMSE with ensemble technique. Supervised learning, Machine Learning, Python, Jupyter Notebook.
Capstone Project - Performed service request data analysis of New York City 311 calls for year 2009. Focused on data wrangling techniques to understand the pattern in the data and also visualize the major complaint types.
Compilation of R and Python programming codes
Case Study in Microsoft Power BI - Countries of the World
Hortonworks tutorials
Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.
Case study in Deep Learning using Keras (Python DL Library) - Image Recognition using CIFAR 10 and VGG16 Pretrained NN.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Guide for hosting python scripts and applications on Heroku
Linear Discriminant Analysis with SMOTE on PIMA_INDIANS_Diabetes_Data. Achieved 80% Recall score for target class 1 [to predict onset of diabetes]
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
Contains notebooks used in the Microsoft Azure Databricks Learning Paths modules.
MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare. Practice Skills Computer vision fundamentals including simple neural networks Classification methods such as SVM and K-nearest neighbors
Case study in NLP - Machine Learning Spam Ham Classifier built on SMSSpamcollection dataset.
Save Jupyter Notebooks as PDF
Modelling Customer Churn When Churns Are Not Explicitly Observed.
pandas_ui helps you wrangle & explore your data and create custom visualizations without digging through StackOverflow. All inside your Jupyter Notebook ( alternative to Bamboolib ).
PyCaret and Streamlit app deployment on Heroku
Python Data Science Handbook: full text in Jupyter Notebooks
templates and scripts for deploying Azure Reference Architectures
This is a retail case study. Helped a major US retailer forecast their sales!
:robot::zap: scikit-learn tips
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.