advanced-machine-learning
There are 5 repositories under advanced-machine-learning topic.
AlessandroCorradini / National-Research-University-Higher-School-of-Economics-Advanced-Machine-Learning-Specialization
Repository for the National Research University Higher School of Economics - Advanced Machine Learning Specialization on Coursera
Language:Jupyter Notebook 38IAmSuyogJadhav / AML-Specialization-Exercises-Coursera
Solved programming exercises from the Advanced Machine Learning specialization by National Research University on Coursera.
Language:Jupyter Notebook 24- Advanced-Machine-Learning-Projects
KonstantinosBarmpas / Advanced-Machine-Learning-Projects
[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.
Language:Jupyter Notebook 18 antonio-f / MNIST-digits-classification-with-TF---Linear-Model-and-MLP
Code from Coursera Advanced Machine Learning specialization - Intro to Deep Learning - week 2.
Language:Jupyter Notebook 6- Language:Jupyter Notebook 4
AlessioLucciola / sapienza-cs-notes
Repository with notes taken during various courses of the Master's Degree in Computer Science at Sapienza University of Rome
djr111 / OpenCV_Traffic_Sign_Detection_Arduino_Robot
Road traffic sign recognition and detection with use of OpenCV, ROS and Arduino build up robot
Language:Python 2MehrabKalantary / Multi-Modal-House-Price-Estimation
House price estimation from visual and textual features using both machine learning and deep learning models
Language:Jupyter Notebook 2- Language:Jupyter Notebook 1
Generative Adversarial Networks test from Coursera's Advanced Machine Learning. Executed on Colab.
Language:Jupyter Notebook 1atevhs / DATA586_AdvancedML
This report proposes an approach to detect anomalies in credit card data using machine learning techniques. Credit card data is prone to fraudulent transactions, and detecting anomalies can help minimize financial losses. The proposed approach involves preprocessing the data by removing missing values and outliers
Language:Jupyter Notebook 1dadavalangege / Advanced_Machine_Learning
Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.
Language:Jupyter Notebook 1firaja / flowers-classification
Classification of flowers from Oxford Flowers 102 dataset
Language:TeX 1rezapci / Advanced-Data-Science-Capstone
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability.
Language:Jupyter Notebook 1rohankrgupta / Orca-call-Classifier-Machine-learning
Advanced ML Project : An Orca Call classifier using mel-spectrograms as audio representations to detect Killer whales
Language:Jupyter Notebook 1Samia35-2973 / Learning-Data-Science
📚 This repository is my personal data science learning hub. Explore my journey from the very basics to advanced techniques. Dive into Python, data manipulation, analysis, visualization, and machine learning. Join me as I learn, grow, and experiment in the world of data science.
advanced-machine-learningdata-cleaningdata-manupulationdata-preprocessingdata-science-roadmapdata-science-tutorialsdata-structures-and-algorithmsdata-visualizationdeep-learningexploratory-data-analysisfeature-engineeringmachine-learningmongodbnatural-language-processingneural-networkobject-oriented-programmingpythonrsqlstatisticsLanguage:Jupyter Notebook 1sofiapasquini / Cs9860A-Final-Project
Final Project for CS 9860A- Advanced Machine Learning; using regression techniques to predict housing prices using the House Price- Advanced Regression Techniques Kaggle dataset
Language:Jupyter Notebook 1orishko-py / Advanced-ML-Spec
The code I wrote for a Coursera specialization in Advanced Machine Learning. Each folder only contains graded assignments.
Language:Jupyter Notebook 0SHOCKWAVE07 / Doceree_Hackathon
HealthProSpec is an advanced machine learning model developed for the Hackathon TechGig Code Gladiators organized by Doceree. The primary objective of HealthProSpec is to accurately predict whether a user is a Healthcare Professional (HCP) and, if so, identify their specific specialization.
Language:Jupyter Notebook 0Week 1 assignment form Coursera's "Advanced Machine Learning - Introduction to Deep Learning"
Language:Jupyter Notebookierolsen / deep-dive-into-breast-cancer-dataset
breast cancer classification with advanced machine learning technique
Language:Jupyter Notebookkama34 / advanced-ML
In this repository you can see all the laboratory work that I did during my master's degree in Advanced ML
Language:Jupyter NotebookTamilhp / California-Housing-price-prediction
An advanced feature engineering and model building techniques
Language:Jupyter NotebookYuragMA / CSST---104-Advanced-Machine-Learning
Explore CSST 104 Advanced Machine Learning repo! Python on Google Colab for tasks. Real-life examples show concepts like linear regression, predictive analysis.
Language:Jupyter Notebook
