GitHub - MohamedArshadGit/My-Machine-Learning-Algos: Exploring the Power of Machine Learning Algorithms: This repository contains my implementations and experiments with various machine learning algorithms. Dive into the world of data-driven insights as I showcase the versatility and capabilities of algorithms like decision trees, neural networks, clustering, regression, and more.

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Exploring the Power of Machine Learning Algorithms: This repository contains my implementations and experiments with various machine learning algorithms. Dive into the world of data-driven insights as I showcase the versatility and capabilities of algorithms like decision trees, neural networks, clustering, regression, and more.

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Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
1 Numpy Tutorial.ipynb		1 Numpy Tutorial.ipynb
104 Decision Tree with post pruning plot_cost_complexity_pruning.ipynb		104 Decision Tree with post pruning plot_cost_complexity_pruning.ipynb
138 All types Of Feature Transformation(1).ipynb		138 All types Of Feature Transformation(1).ipynb
144 All Types Of Cross Validation(1).ipynb		144 All Types Of Cross Validation(1).ipynb
15 Exploratory Data Analysis.ipynb		15 Exploratory Data Analysis.ipynb
17 List Comprehension.ipynb		17 List Comprehension.ipynb
2- Pandas tutorial.ipynb		2- Pandas tutorial.ipynb
23 Univariate Bivariate.ipynb		23 Univariate Bivariate.ipynb
3-Matplotlib.ipynb		3-Matplotlib.ipynb
37 linear reg (pract).ipynb		37 linear reg (pract).ipynb
38 Linear Regression MultiCollinearity(1).ipynb		38 Linear Regression MultiCollinearity(1).ipynb
38 Ridge and Lasso Regression.ipynb		38 Ridge and Lasso Regression.ipynb
4- Seaborn.ipynb		4- Seaborn.ipynb
43 random_forest_classification.ipynb		43 random_forest_classification.ipynb
49 Customer Churn Logistic Regression.ipynb		49 Customer Churn Logistic Regression.ipynb
61 K Nearest Neighbors with Python.ipynb		61 K Nearest Neighbors with Python.ipynb
64 Random-forest Regression climate prediction accuracy.ipynb		64 Random-forest Regression climate prediction accuracy.ipynb
65 Handling Imbalanced Data- Under Sampling(1).ipynb		65 Handling Imbalanced Data- Under Sampling(1).ipynb
66 Handling Imbalanced Data- Over Sampling(1).ipynb		66 Handling Imbalanced Data- Over Sampling(1).ipynb
68 Adaboost-classifier.ipynb		68 Adaboost-classifier.ipynb
72 k-means-clustering-with-python.ipynb		72 k-means-clustering-with-python.ipynb
73 1 DBSCAN Clustering .ipynb		73 1 DBSCAN Clustering .ipynb
73 Dimensionality reduction-Principal Component Analysis(1).ipynb		73 Dimensionality reduction-Principal Component Analysis(1).ipynb
74 Silhouette Clustering(1).ipynb		74 Silhouette Clustering(1).ipynb
79 How To Find Optimal Threshold For Binary Classification(1).ipynb		79 How To Find Optimal Threshold For Binary Classification(1).ipynb
81 NLP-Spam Classifier using Naive bayes(1).ipynb		81 NLP-Spam Classifier using Naive bayes(1).ipynb
84 Support Vector machine using grid search-classifier.ipynb		84 Support Vector machine using grid search-classifier.ipynb
86 SVM Kernelss Implementation(1).ipynb		86 SVM Kernelss Implementation(1).ipynb
88 gradient-boosting-with-hyperparameter-tuning.ipynb		88 gradient-boosting-with-hyperparameter-tuning.ipynb
89 Xgboost with Hyperparameter Optimization.ipynb		89 Xgboost with Hyperparameter Optimization.ipynb
Advertisement.csv		Advertisement.csv
Advertising.csv		Advertising.csv
Bank Customer Churn Prediction.csv		Bank Customer Churn Prediction.csv
Churn_Modelling.csv		Churn_Modelling.csv
Classified_Data.csv		Classified_Data.csv
Finding an outlier in a Dataset.ipynb		Finding an outlier in a Dataset.ipynb
Iris_1.csv		Iris_1.csv
Linked List -2 Add Two Numbers-Medium.py		Linked List -2 Add Two Numbers-Medium.py
Mall_Customers.csv		Mall_Customers.csv
Naive Bayes -Fake News Classifier using Machine learning PROJECT-3.ipynb		Naive Bayes -Fake News Classifier using Machine learning PROJECT-3.ipynb
SMSSpamCollection.csv		SMSSpamCollection.csv
Salary_Data.csv		Salary_Data.csv
Salary_Data1.csv		Salary_Data1.csv
Social_Network_Ads.csv		Social_Network_Ads.csv
cancer_dataset.csv		cancer_dataset.csv
feature scaling-standardisation and normalisation.ipynb		feature scaling-standardisation and normalisation.ipynb
heart.csv		heart.csv
live.csv		live.csv
temps.csv		temps.csv
titanic.csv		titanic.csv
titanic_train.csv		titanic_train.csv
train(1).csv		train(1).csv