Farrikh Alzami's repositories
fga_digitalent_2023
repo ini digunakan untuk pelatihan data analist pada FGA Digitalent 2023
Tableau-Prep-Cookbook
Tableau Prep Cookbook, published by Packt
awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
chbmit-seizure-prediction
Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.
customer-lifetime-prediction-using-python
What is CLV or LTV? 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.
dataset
dataset for teaching
demand_prediction
edited from https://github.com/demand-prediction-guide/public
Doing-Meta-Analysis-in-R
[Read-Only] All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"
feature-selection-for-machine-learning
Code repository for the online course Feature Selection for Machine Learning
flower
Flower: A Friendly Federated Learning Framework
Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
idss_student
materi pembelajaran mahasiswa IDSS
introduction-prescriptive-ai
Source Code for 'Introduction to Prescriptive AI' by Akshay Kulkarni, Adarsha Shivananda, and Avinash Manure
machine-learning-for-tabular-data
Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost
ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
modeling-examples
Gurobi modeling examples
modern-deep-learning-tabular-data
Source Code for 'Modern Deep Learning for Tabular Data' by Andre Ye and Ziang Wang
Network-Science-with-Python
Network Science with Python, published by Packt
pandas_exercises
Practice your pandas skills!
Predicted_Volatility
Predicted Volatility: Applying Predicted Volatility to Determine Profitability of Cyclical and Defensive ETFs
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Python-MLOps-Cookbook
This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
tensor-house-data
Datasets for the TensorHouse project