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advanced-sql-coding-practices

advanced SQL coding practices

apache_beam

Apache Beam Data Pipeline Building for Data processing at Scale

apache_spark_machine_learning_logisticregressionsample

A simple learning sample of execution of logistic regression using PySpark library

association-rules-for-market-basket-analysis

Association Rules for Market Basket Analysis using R

autonomous_driving_lane_detection_and_centering

Finding Lane Lines On the Road

build_the_best_classifier_for_loan_default_prediction

Build Machine Learning Models for Loan Default Prediction using different algorithms including Decision Tree, K Nearest Neighbor,Support Vector Machine, Logistic Regression. And then evaluate the different model performances to choose the best one for production.

cluster_analysis_using_r

Cluster analysis using the dataset of mtcars in R

conjugate_gradient

A different method from gradient descent to find minimum function

coursera

covariance_matrix_computer

A simple function to compute Co-variance matrix

craigslist_usedcar_scraper

A Python Scraping Program that collecting the craigslist used car information to save or money for users

customer_retention_prediction_using_r

A research for customer retention prediction using different algorithm in R

data_automation_project

SEC listed security issuers fiancial, market, profile, and risk data collection and processing automation

datascienceapp_with_streamlit

deploy data and machine learning applications using Streamlit

datasciencejobscrawper

A Python Web-Scraper can collect and send desirable job posting information fast and automatically to boost the opportunity of getting the job

demos

End to end MLRun demos

deploy_babyweight_production_ml_model_on_gcp

Train and Deploy New Born Baby weight Machine Learning Model on GCP using BigTable and GCP ML Engine

email_sending_automation_with_python

Python codes for sending emails automatically

event_dispatcher

A simple code snippet for event dispatcher function

fundamentals-of-scalable-data-science

This repository has the solution to assignments for the course Fundamentals-of-Scalable-Data-Science by IBM on Coursera for future reference. It was a great learning experience and I would not want any other learners to take reference from the same and do them on their own.

gpu_utilization_management

It's cretical to get an optimized model training and testing enviroment to boost model performance technically as well as economically

gradient-function-by-python

a simple sample of gradient

hive_data

bigdata, data pipeline, hive, data pipeline creation, table partition, data engine

html_data_visualization

Charts in form of HTML and PNG

image-detection-using-neural-network

a deep learning neural network for cat images detection

keras

Deep Learning for humans

loan_classification_using_sql_server_r_services

Building a in database prediction model to leverage SQL Server 2016 as a Scoring Engine to predict "bad" loans

machine_learning_with_python_scikit-learn

Machine Learning code samples using Python Sklearn library

machine_learning_with_pytorch

Model building and Optimization with Pytorch and Python

machinelearning_algorithms_python_implementations

A repository for storing personal study records