gridsearchcv
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A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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Nov 6, 2023 - Python
A New, Interactive Approach to Learning Python
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Nov 8, 2023 - Jupyter Notebook
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
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Sep 8, 2022 - Jupyter Notebook
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
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Dec 29, 2021 - Jupyter Notebook
Bank customers churn dashboard with predictions from several machine learning models.
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Jul 18, 2023 - Jupyter Notebook
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
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May 12, 2021 - Jupyter Notebook
Karma of Humans is AI
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Mar 9, 2020 - Jupyter Notebook
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
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Oct 27, 2023 - HTML
This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.
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Jul 10, 2022 - Jupyter Notebook
Hyperparameters-Optimization
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Mar 22, 2023 - Jupyter Notebook
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
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Mar 2, 2021 - HTML
iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python
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Mar 9, 2022 - Jupyter Notebook
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
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May 20, 2024 - Python
Obtaining meaningful results from the data set using the model trained with machine learning methods.
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Jan 4, 2023 - Python
Open University Learning Analytics Dataset (OULAD) analysis exercise
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Apr 11, 2024 - Python
Contains all my data science projects.
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May 1, 2020 - Jupyter Notebook
An anytime implementation of scikit-learn GridSearchCV
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Dec 2, 2018 - Python
Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset:https://arxiv.org/abs/1705.00648.
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Jan 24, 2020 - Jupyter Notebook
In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign
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Apr 30, 2023 - Jupyter Notebook
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