Projects in Awesome Lists by Udacity-MachineLearning-Internship
A curated list of projects in awesome lists by Udacity-MachineLearning-Internship .
https://github.com/udacity-machinelearning-internship/diabetescasestudy
Implementing several models with visualizations to putting all togother in Training and Tuning
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/titanic-survival-model
Applying Titanic Survival Model with decision trees in python
decision-trees machine-learning sckit-learn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/reducingoverfitting
Reducing overfitting in perdiction in decision trees
decision-trees overfitting overfitting-reduced pandas scki
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/perceptrons-as-logical-operators
Applying Perceptrons as Logical Operators using Pandas
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/perceptron-algorithm
Implementing perceptron alogorithm in python using Numpy and Pandas
machine-learning perceptron perceptron-learning-algorithm
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/mini-batch-gradient-descent
Implementing mini batch gradient descent using sckit-learn
machine-learning mini-batch-gradient-descent sckiit-learn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/polynomial-regression
Implementing polynomial regression using sckit-learn
machine-learning polynomial-regression sckiit-learn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/gridsearchlab
Implemeting grid search and changing the hyperparameters to reduce the overfitting of the models.
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/regularization
Implementing regularization using sckit-learn
machine-learning regularization sckit-learn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/identify_customer_segments
Final project on Udacity's "Intro to Machine Learning with TensorFlow" program.
clustering machine-learning tensorflow unsupervised-learning unsupervised-machine-learning
Last synced: 12 Jun 2025
https://github.com/udacity-machinelearning-internship/multiple-linear-regression
Implementing multiple linear regression using sckit-learn
machine-learning multiple-linear-regression natural-language-processing sckiit-learn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/feature-scaling
Applying feature scaling with linear regression in python
feature-scaling linear-regression machine-learning sckit-learn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/testingyourmodels
Implemeting how to test your models using sklearn in python
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/classificationmetrics
Implementing several classification metrics with sklearn in python
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/spamclassifier
Naive Bayes theorem applying using sklearn for Spam classifier.
jupyter-notebook machine-learning naive-bayes-classifier python sklearn supervised-learning
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/more-spam-classifying
Implementing more spam classifying using Ensemble Methods in python
classification jupyter jupyter-notebook machine-learning pandas python scikit-learn sklearn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/linear-regression-in-scikit-learn
Implementing linear regression using sckit-learn
linear-regression machine-learning sckiit-learn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/.github
repository for creating Readme.md file for the organization
Last synced: 28 Mar 2025
https://github.com/udacity-machinelearning-internship/decision-trees-in-sklearn
Applying Decision Trees in SKLearn with pandas and numpy
decision-trees machine-learning sklearn
Last synced: 18 Mar 2025
https://github.com/udacity-machinelearning-internship/image_classifier
Image classifier project for Udacity "Intro to machine learning with tensorflow" program.
Last synced: 28 Mar 2025