Some of my Machine Learning (SVM, Decision Trees, Random Forest, K Nearest Neighbors, Deep learning aka Neural Network, XGBoost) projects
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Updated
Dec 15, 2021 - Jupyter Notebook
Some of my Machine Learning (SVM, Decision Trees, Random Forest, K Nearest Neighbors, Deep learning aka Neural Network, XGBoost) projects
deeplearning.ai Course Materials
Resources for the Deep Learning study (2018 Winter) with DeepLearningZeroToAll.
PyTorch 1.2 Tutorial
LangChain Chat with Your Data course from DeepLearning.AI and LangChain
This repository contains the implementation of Self organising maps for fraud detection.
🏃 🌀 A 50 day of Machine Learning Sprint to cover all state of the art problems from various domains
Deeping learning with Python, Tensorflow, Keras
Welcome to my Deep Learning Practices repository! This directory is dedicated to my journey of exploring and implementing deep learning techniques and models. Here, you'll find various datasets, code examples, and resources related to deep learning.
Welcome to our Neural Networks Playground! This is a beginner-friendly repository where you can explore the basics of deep learning through easy-to-understand tutorials and fun projects.
My Solutions for the SPRING 2018 Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Depot de notebook python d'algorithmes de machine Learning nécéssaires à l'analyse de sentiments
A captcha's vulnerability analysis using deep learning
Build neural network in pure python
Andrew NG's Machine Learning Specialization (MLS) Course Full Materials
Summer 2021 Industry Sponsored Project with GLG and FourthBrain.ai implementing Named Entity recognition, hierarchical topic clustering on the NER corpus dataset
Skripsi Prediksi Harga Saham Menggunakan Deep Learning LSTM oleh Gesang Paudra Jaya
This repository is an import of the original repository that contains some of the models we had tested on the RAVDESS and TESS dataset for our research on Speech Emotion Recognition Models.
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