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1. Data Manipulation with Python Pandas.ipynb
1. Data Manipulation with Python Pandas.ipynb
 
 
1. Label Encoder.ipynb
1. Label Encoder.ipynb
 
 
2. One Hot Encoding.ipynb
2. One Hot Encoding.ipynb
 
 
3. Binary Encoder.ipynb
3. Binary Encoder.ipynb
 
 
4. Ordinal Encoder.ipynb
4. Ordinal Encoder.ipynb
 
 
Bias Variance.ipynb
Bias Variance.ipynb
 
 
Boxplot using Python.ipynb
Boxplot using Python.ipynb
 
 
CNN Basic Overview .ipynb
CNN Basic Overview .ipynb
 
 
Churn Modelling with Decision Tree.ipynb
Churn Modelling with Decision Tree.ipynb
 
 
Churn Modelling with Random Forest.ipynb
Churn Modelling with Random Forest.ipynb
 
 
Confusion Matrix.ipynb
Confusion Matrix.ipynb
 
 
Cross Validation.ipynb
Cross Validation.ipynb
 
 
Decision Tree Classifier.ipynb
Decision Tree Classifier.ipynb
 
 
Fit, Transforn and fit_transform.ipynb
Fit, Transforn and fit_transform.ipynb
 
 
Importing data from google sheet using pandas and python.ipynb
Importing data from google sheet using pandas and python.ipynb
 
 
Linear Relationship.ipynb
Linear Relationship.ipynb
 
 
Neural Network.pdf
Neural Network.pdf
 
 
PROJECT on Linear Regression.ipynb
PROJECT on Linear Regression.ipynb
 
 
Plot accuracy in seaborn.ipynb
Plot accuracy in seaborn.ipynb
 
 
Polynomial Regression.ipynb
Polynomial Regression.ipynb
 
 
README.md
README.md
 
 
Random Forest & HyperparameterTuning.ipynb
Random Forest & HyperparameterTuning.ipynb
 
 
SVM in ML.ipynb
SVM in ML.ipynb
 
 
Save ML Models.ipynb
Save ML Models.ipynb
 
 
Screen Time Data.csv
Screen Time Data.csv
 
 
The Normal or Gaussian Distribution.ipynb
The Normal or Gaussian Distribution.ipynb
 
 
home data.csv
home data.csv
 
 
shoe.csv
shoe.csv
 
 
shop data.csv
shop data.csv
 
 
weight-height.csv
weight-height.csv
 
 

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Machine Learning with Python by Study Mart & aiQuest Intelligence

Welcome to the Machine Learning with Python repository! This repository contains resources and materials to help you learn and master machine learning using Python. Curated by Study Mart and aiQuest Intelligence, these resources are perfect for both beginners and advanced learners.

Topics Covered

  • Introduction to Machine Learning
  • Data Preprocessing
  • Supervised Learning
  • Unsupervised Learning
  • Model Evaluation and Validation
  • Advanced Machine Learning Techniques

YouTube Video Playlist

Watch the complete video playlist on YouTube: Machine Learning with Python Playlist

Repository Link

Explore the resources in detail here.

Additional Resources

We also offer a variety of paid courses on data science on our website. Visit AIQuest for more details.

For free resources, check out our YouTube channel: StudyMart.

Join our Facebook group for more discussions and resources: StudyMart Facebook Group.

Visit our paid course website for more courses on data science.

Subscribe to our YouTube channel for free resources: StudyMart.

Join our Facebook group: StudyMart Facebook Group.

About

Machine Learning by Study Mart. Visit: https://aiquest.org/

aiquest.org/

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