Pinned Repositories
AI-Reading-Materials
Some of the ML and DL related reading materials, research papers that I've read
AI4609
Algorithms-CSE221
My codes for CSE221 Brac University in Python 3.
AutomaticDetectionofHateSpeech
awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
LIBSVM-multi-classification
Matlab code for LIBVM multi classification using (OVR) and (OVO)
modeling-examples
Gurobi modeling examples
singa
a distributed deep learning platform
Tableau-Dashboards-info
Tableau-Prep-Cookbook
Tableau Prep Cookbook, published by Packt
dsnalzami's Repositories
dsnalzami/Tableau-Prep-Cookbook
Tableau Prep Cookbook, published by Packt
dsnalzami/fga_digitalent_2023
repo ini digunakan untuk pelatihan data analist pada FGA Digitalent 2023
dsnalzami/modeling-examples
Gurobi modeling examples
dsnalzami/Tableau-Dashboards-info
dsnalzami/awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
dsnalzami/chbmit-seizure-prediction
Anomaly prediction using brain signals with Fourier transformed features and SVM classifier.
dsnalzami/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.
dsnalzami/dataset
dataset for teaching
dsnalzami/hackathon
dsnalzami/demand_prediction
edited from https://github.com/demand-prediction-guide/public
dsnalzami/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"
dsnalzami/feature-engineering-for-time-series-forecasting
dsnalzami/feature-selection-for-machine-learning
Code repository for the online course Feature Selection for Machine Learning
dsnalzami/flower
Flower: A Friendly Federated Learning Framework
dsnalzami/Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
dsnalzami/idss_student
materi pembelajaran mahasiswa IDSS
dsnalzami/introduction-prescriptive-ai
Source Code for 'Introduction to Prescriptive AI' by Akshay Kulkarni, Adarsha Shivananda, and Avinash Manure
dsnalzami/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
dsnalzami/ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
dsnalzami/modern-deep-learning-tabular-data
Source Code for 'Modern Deep Learning for Tabular Data' by Andre Ye and Ziang Wang
dsnalzami/Network-Science-with-Python
Network Science with Python, published by Packt
dsnalzami/pandas_exercises
Practice your pandas skills!
dsnalzami/Predicted_Volatility
Predicted Volatility: Applying Predicted Volatility to Determine Profitability of Cyclical and Defensive ETFs
dsnalzami/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
dsnalzami/Python-MLOps-Cookbook
This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
dsnalzami/serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
dsnalzami/Tableau-Prep-Builder-for-Beginners-Getting-Started
dsnalzami/tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
dsnalzami/tensor-house-data
Datasets for the TensorHouse project
dsnalzami/TimeSeriesForecastingInPython