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Sheik Mohamed's Projects

awesome-streamlit icon awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

capstone-project-california-housing-price-prediction icon capstone-project-california-housing-price-prediction

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.

code icon code

Compilation of R and Python programming codes

databricks-demos icon databricks-demos

Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

mastering-apache-spark icon mastering-apache-spark

This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel

mnist_digit_recognizer_knn_tensorflow-implementation icon mnist_digit_recognizer_knn_tensorflow-implementation

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

pandas_ui icon pandas_ui

pandas_ui helps you wrangle & explore your data and create custom visualizations without digging through StackOverflow. All inside your Jupyter Notebook ( alternative to Bamboolib ).

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