robsalgado / Personal_data_science_projects

Source files for "Lectures in Quantitative Economics" -- Python version

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

借助Python抓取微博数据，并对抓取的数据进行情绪分析

ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP

中文的 tensorflow tutorial with jupyter notebooks

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

Materials for a 2-day instructor led course on applying machine learning

DCGAN image generator 🖼️.

CME211 Notes | Outline ->

Manifold-learning flows (ℳ-flows)

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

Jupyter-friendly Python interface for C++ MINUIT2

A day to day plan for this challenge. Covers both theoritical and practical aspects

Miscellaneous Malware RE

A drop-in replacement for CIFAR-10.

This repository contains materials for demos, tutorials, and talks by Dato Inc.

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

18.330 Introduction to Numerical Analysis

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation