model-tuning

There are 52 repositories under model-tuning topic.

  • AIML-Practice

    Sameer Girolkar's AIML practice Notebooks

    Language:Jupyter Notebook

  • Finding-Donors-Using-ML

    Predicting potential donors using various machine learning models, tuning and ensembling.

    Language:Jupyter Notebook

  • intro_ml

    Short course: Introduction to Machine Learning

  • Image-Classifier-with-TensorFlow

    I built a Python application that trained an image classifier on an Oxford flower dataset to recognize different species of flowers, and then predicted new flower images using the trained model. This project is a starting point in the world of deep learning and neural networks, implemented here using Keras, TensorFlow and transfer learning techniques.

    Language:HTML

  • rdc-model-comparison-donors-for-charity

    I used this notebook to discuss different supervised learning approaches. In the notebook you can find evaluations of a logistic regression, a K-Nearest-Neighboor, a Support Vector Machine, a Decision Tree and the ensemble methods Random Forest, AdaBoost and XGBoost Classifyer.

    Language:Jupyter Notebook

  • Cardiovascular-Disease-Prediction

    Machine learning prediction project, R studio, 2019.

  • used_cars_model_improvement

    This linear regression model tuning is an exercise for a Data Science Online Bootcamp.

    Language:Jupyter Notebook

  • MLND-Smartcab

    Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.

    Language:Jupyter Notebook

  • MLND-Dog_Breed_Classifier

    Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.

    Language:Jupyter Notebook

  • Finding-Donors-CharityML

    Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.

    Language:HTML

  • Train-a-Smartcab-to-Drive

    Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.

    Language:HTML

  • Predicting-Boston-Housing-Prices

    Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

    Language:HTML

  • smartcab

    Train a Smartcab to Drive

    Language:HTML

  • boston-housing

    Predicting Boston Housing Prices

    Language:Jupyter Notebook