2015

Public material for CS109

2015lab1

actions-ml-cicd

A Collection of GitHub Actions That Facilitate MLOps

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

automatedmlenergyforecast

Energy demand forecasting on Azure Machine Learning with Automated ML

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-energy-forecasting

A curated list of awesome energy forecasting resources such as, code libraries, datasets, courses, tutorials, research papers, competitions and communities.

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning_mlops

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome_time_series_in_python

This curated list contains python packages for time series analysis

azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

complex-sql-practice-for-interview

I have tried to solve some complex SQL interview questions that had been asked in several company. Collected this question from Ankit Bansal. He made a organized playlist along with the solution. I have tried to figure out them first and then checked whether my query is correct or no. Thanks in advance.

content-cs109-data-science

Official content for Harvard CS109

continuous-machine-learning-cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cortana-intelligence-energy-demand-forecasting

Energy industry solutions using the Cortana Intelligence Suite with end-to-end walkthrough.

coursera-imperial-college-london-mathematics-for-machine-learning-linear-algebra

Quiz Answers, Assessments, Programming Assignments for the Linear Algebra course.

customer-lifetime-prediction-using-python

How you measure the value of your customers? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

customer_analytics

data-science-interviews

Data science interview questions and answers

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_engineering_e-commerce

datawithdanny-sql-masterclass

energy-ts-analysis

Jupyter notebook implementing time series forecasting of energy consumption data with different methods.

forecast

a toolkit for forecasting energy time series

forecasting

Time Series Forecasting Best Practices & Examples

forecasting-in-the-dark

A Data Science LAB project (lite version, view the full version at https://gitlab.com/DBertazioli/enercibiddding). Functional forecasting for energy supply functions in italian energy market comparing a statistical model (Reduced Rank Regression) with a machine learning one (Long short-term memory neural nets)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

implement-devops