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Search results for data science modelling
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modelling
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14 search results found
Atom
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137
Automated Tool for Optimized Modelling
Mineral Exploration Machine Learning
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112
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Datawranglingpy
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70
Minimalist Data Wrangling with Python (Open-Access Textbook)
25daysinmachinelearning
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48
I will update this repository to learn Machine learning with python with statistics content and materials
Holt Winters
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19
The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.
Skrobot
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19
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Lossrx
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8
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
Avito Demand Prediction Challenge
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7
It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting
Big Mart Sales Prediction
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7
Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.
Employee Reviews
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7
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.
Fit3139 Notes
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6
Summary notes for FIT3139 — Introduction to Computational Science
Amazon Alexa Reviews
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6
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
Deep Learning For Data Science
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6
Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
Titanic Passenger Survival Prediction
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5
Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.
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1-14 of 14 search results
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