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58 search results found
Mlcourse.ai
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9,376
Open Machine Learning Course
Ai Learn
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8,256
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Machine_learning_complete
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4,296
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Machine Learning Projects
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163
This repository consists of all my Machine Learning Projects.
100_days_mldl
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161
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ⭐ Happy Learning :)
Ml Cheatsheet
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149
A constantly updated python machine learning cheatsheet
Machine_learning
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111
Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
Ds_and_ml_projects
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110
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Pragmaticai
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103
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
Sci Pype
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96
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Basic Machine Learning
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71
This is a repo of basic Machine Learning what I learn. More to go...
Datawranglingpy
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70
Minimalist Data Wrangling with Python (Open-Access Textbook)
Data Science And Machine Learning Projects Dojo
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67
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Stock Prediction
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57
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
Ml Time Series Analysis On Sales Data
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47
Time Series Decomposition techniques and random forest algorithm on sales data
Cracking Kaggle Competitions
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40
Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.
Machine Learning Interactive Visualization
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33
Interactive visualization of machine learning model evaluation metrics
Python Course
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33
Python Basics, Machine Learning and Deep Learning
Machine Learning Alpine
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31
Alpine Container for Machine Learning
Github Stars Predictor
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25
It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
Devml
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25
Product of Pragmatic AI Labs: Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity
Intro To Machine Learning
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24
Introduction to Machine Learning
Machine Learning With Iris Dataset
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24
Data Visualization and Machine Learning with Iris Dataset.
Centrifuge Toolkit
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22
Tool for visualizing and empirically analyzing information encoded in binary files
Cshl Singlecell 2017
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20
Single Cell Analysis course at Cold Spring Harbor Laboratory 2017
Turma Introducao 2019.1
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20
Material for the ML/DS course developed by DATA for 2019.
Datacamp Courses Megacollection
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18
70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,
Paruluniversityai
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18
Artificial Intelligence Course at Parul University taught in Spring 2023 by Mr Smaranjit Ghose
Skin_disease_ai
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18
A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.
Python Notebooks
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18
All Jupyter and Colab Notebooks are here
Python For Data Science
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13
Repository for participants of the "Python for data science" training
Ds For Dummies
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12
Collection of notebooks describing common use cases of some important Python libraries for Data Science and Machine learning
Dataquest
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12
Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.
Diamonds In Depth Analysis
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12
Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.
Data Science Skills Practice
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11
Portfolio
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11
Self-taught data analyst.
Data Science Tutorials
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11
Tutorial on How To Use Python, Pandas, Seaborn, Numpy, Matplotlib, Scipy for Data Science.
Datascience Python
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10
to keep myself motivated toward the daily habit of programming.
Loan Prediction Using Machine Learning And Python
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10
To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib
Foundationalml
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9
Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.
Python For Data Analysis And Machine Learning
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8
This repo contains the projects made for the course of Jose Portilla on Udemy.
Data_science_introduction_with_python
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8
En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.
Python Ml Turbofan
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7
Xgboost_churn_analysis
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7
Telecommunication Company Churn Project
Tsf Supervised Machine Learning
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7
Task: To predict the percentage of a student based on the number of study hours.
Machine Learning
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7
Fundamentals & projects
Python For Data Science And Machine Learning Bootcamp
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6
Udemy course - Python for Data Science and Machine Learning bootcamp
Hgwxx7
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6
Data Science, Machine Learning, Natural Language Processing, Deep Learning, Quantum Information Processing, Quantum Computing
Introduction To Data Analyst And Data Science
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6
Introduction to Data Analyst and Data Science for Beginners
Car Price Prediction Highly Comprehensive Linear Regression Project
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6
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
Data Mining 51job
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6
Data-mining on 51Job website
Pet_projects
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6
🎭 Проекты, которые я выполняю самостоятельно. Датасеты беру из открытых источников.
Covid Dataset Analysis
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6
Analysis and review of the Covid dataset for EDA practice in pandas, numpy, and matplotlib and practice working with data.
Market Basket Analysis On Food Items
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5
Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.
Titanic Machine Learning From Disaster
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5
END TO END MACHINE LEARNING MODEL BUILDING
Mini Project
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5
Mini-Projects in Master's (Big Data & Data Analytics) at Manipal University
Head Start To Data Science
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5
Leave your regressions behind 🙈 and Let's #makeIThappen with Data Science ⚡
Diabetes Classification
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5
Modelo de previsão de diagnóstico de diabetes utilizando machine learning.
Datacamp Projects
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5
Data Camp Python Projects
Career Track Data Scientist With Python
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5
This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
Tencent Spark Program Tutorial
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5
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1-58 of 58 search results
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