Pinned Repositories
adf-ready-demo
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.
CountriesOfTheWorld_CaseStudy
Case Study in Microsoft Power BI - Countries of the World
Deep-Learning-using-Keras-Python-DL-Library-
Case study in Deep Learning using Keras (Python DL Library) - Image Recognition using CIFAR 10 and VGG16 Pretrained NN.
LDA_with_SMOTE_PIMA_INDIANS_Diabetes_Data
Linear Discriminant Analysis with SMOTE on PIMA_INDIANS_Diabetes_Data. Achieved 80% Recall score for target class 1 [to predict onset of diabetes]
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
NLP-Case-Study---Spam-Ham-Classifier-with-SMSSpamcollection-
Case study in NLP - Machine Learning Spam Ham Classifier built on SMSSpamcollection dataset.
Online-Retail-Store-Anomaly-Detection
Modelling Customer Churn When Churns Are Not Explicitly Observed.
Sentiment-Analysis-Systems---Applying-VADER-on-Cornell-movie-review-Dataset
Sentiment-Analysis-Systems---Naive-Bayes-ML-Classfier-on-Cornell-movie-review-Dataset
SheikMohamed1987's Repositories
SheikMohamed1987/adf-ready-demo
SheikMohamed1987/CountriesOfTheWorld_CaseStudy
Case Study in Microsoft Power BI - Countries of the World
SheikMohamed1987/Deep-Learning-using-Keras-Python-DL-Library-
Case study in Deep Learning using Keras (Python DL Library) - Image Recognition using CIFAR 10 and VGG16 Pretrained NN.
SheikMohamed1987/LDA_with_SMOTE_PIMA_INDIANS_Diabetes_Data
Linear Discriminant Analysis with SMOTE on PIMA_INDIANS_Diabetes_Data. Achieved 80% Recall score for target class 1 [to predict onset of diabetes]
SheikMohamed1987/NLP-Case-Study---Spam-Ham-Classifier-with-SMSSpamcollection-
Case study in NLP - Machine Learning Spam Ham Classifier built on SMSSpamcollection dataset.
SheikMohamed1987/Online-Retail-Store-Anomaly-Detection
Modelling Customer Churn When Churns Are Not Explicitly Observed.
SheikMohamed1987/Sentiment-Analysis-Systems---Applying-VADER-on-Cornell-movie-review-Dataset
SheikMohamed1987/Sentiment-Analysis-Systems---Naive-Bayes-ML-Classfier-on-Cornell-movie-review-Dataset
SheikMohamed1987/architecture-center
Azure Architecture Center
SheikMohamed1987/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
SheikMohamed1987/AZ-204-DevelopingSolutionsforMicrosoftAzure
AZ-204: Developing solutions for Microsoft Azure
SheikMohamed1987/azure-databricks-streaming-analytics
Stream processing with Azure Databricks
SheikMohamed1987/azure-functions-python-samples
Azure Functions Python Sample Codes
SheikMohamed1987/code
Compilation of R and Python programming codes
SheikMohamed1987/data-tutorials
Hortonworks tutorials
SheikMohamed1987/databricks-demos
Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.
SheikMohamed1987/FabricLearn
SheikMohamed1987/heroku-python-script
Guide for hosting python scripts and applications on Heroku
SheikMohamed1987/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
SheikMohamed1987/Mastering-Apache-Spark
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
SheikMohamed1987/microsoft-learning-paths-databricks-notebooks
Contains notebooks used in the Microsoft Azure Databricks Learning Paths modules.
SheikMohamed1987/notebook-as-pdf
Save Jupyter Notebooks as PDF
SheikMohamed1987/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 ).
SheikMohamed1987/pycaret-deployment-streamlit
PyCaret and Streamlit app deployment on Heroku
SheikMohamed1987/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
SheikMohamed1987/reference-architectures
templates and scripts for deploying Azure Reference Architectures
SheikMohamed1987/scikit-learn-tips
:robot::zap: scikit-learn tips
SheikMohamed1987/Simple-iris-ml-app
Simple Iris Flower Prediction App made with Streamlit.
SheikMohamed1987/SM_Azure_Academy
Lab codes
SheikMohamed1987/Understanding-categorical-data