项目作者: nakshatrasinghh

项目描述 :
Making Machine Learning Algorithms Easy to Comprehend
高级语言: Jupyter Notebook
项目地址: git://github.com/nakshatrasinghh/Machine-Learning.git
创建时间: 2020-07-31T11:28:55Z
项目社区:https://github.com/nakshatrasinghh/Machine-Learning

开源协议:Apache License 2.0

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🤖⚡ My Machine Learning Notebooks

Made with ❤️ by Nakshatra Singh.

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If you want to build something together, feel free to email me at - nakshatradsu@gmail.com 📧.

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All my Notebooks run without downloading any datasets (Thanks to gdown). Just click, Learn and Explore 🔭🤗.

Click to view the Jupyter notebook in Google Colab:

# Description Link
1 Mobile Price Classification with Decision Tree Classifier and Regressor with Tree Visualization Open In Colab
2 Diabetes Prediction with K Nearest Neighbors Algorithm and Exploratory Data Analysis Open In Colab
3 Logistic Regression with Scikit-Learn Open In Colab
4 One Liner Machine Learning with Libra Open In Colab
5 Support Vector Machine Classifier and Regressor with Hyperparameter Optimization using GridSearchCV Open In Colab
6 Credit Card Fraud Detection Using Gaussian Naive Bayes Algorithm and Feature Selection Open In Colab
7 Heart Disease Prediction using Linear Regression (Stochastic Gradient Descent Classifier) with Exploratory Data Analysis Open In Colab
8 Complete Decision Tree, Random Forest with Tree Pruning and Advanced Visualization Open In Colab
9 Iris Flower Classification with Linear Discriminant Analysis and Quadratic Discriminant Analysis Open In Colab
10 Survived or Not Survived - Titanic Dataset with 5 different ML algorithms and Exploratory Data Analysis Open In Colab
11 Twitter Suicidal-Intention Prediction with Tfidf, WordCloud, SVC and LinearSVC Open In Colab

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