linearregression-gradientdescent

There are 0 repository under linearregression-gradientdescent topic.

• coding-ai / machine_learning_cpp

  Machine Learning C++

  algorithmscpplinear-modelslinear-regressionlinearregressionlinearregression-gradientdescentlogistic-regressionlogistic-regression-algorithmmachine-learningmachine-learning-algorithmsmachinelearningmachinelearning-cpptutorials
  Language:Jupyter Notebook 62

• Amshra267 / ML-work

  contains the content related to ML

  deep-learningmachine-learningneural-networkmaterialspythondeep-learning-tutorialsmachine-learning-tutorialsml-tutorialresearch-papersrecurrent-neural-networksconvolutional-neural-networkslinearregression-gradientdescentlogistic-regression
  Language:Python 4

• akashkriplani / bike-sharing-assigment

  This project tackles BoomBikes' post-Covid revenue decline by predicting shared bike demand after the lockdown. A consulting company identifies key variables impacting demand in the American market. The goal is to model demand, aiding BoomBikes in adapting its strategy to meet customer expectations and navigate market dynamics.

  linear-regressionmachine-learningmachine-learning-algorithmsnumpypandasscikit-learnstatsmodelsvifdatasciencelinearregression-gradientdescentrfe
  Language:Jupyter Notebook

• AnuraagRath / Linear-Regression-MachineLearning-from-Scratch

  Using python we have created a Linear Regression Machine Learning Model from Scratch. We have implemented Gradient Descent to find the best 'm' (Slope) and 'b' (Intercept).

  linear-regressiongradient-descent-algorithmgradient-descentpython3linearregression-gradientdescent
  Language:Python

• thehamzza / Food-Truck-Profit-Prediction-Using-Linear-Regression-Optimization

  In this part of this exercise, you will implement linear regression with one variable to predict profits for a food truck. Suppose you are the CEO of a restaurant franchise and are considering different cities for opening a new outlet. The chain already has trucks in various cities, you have data for profits and populations from the cities. You would like to use this data to help you select which city to expand to next. The file ex1data1.txt contains the dataset for our linear regression problem. The first column is the population of a city and the second column is the profit of a food truck in that city. A negative value for profit indicates a loss.

  linearregression-gradientdescentpythonoptimization-algorithms
  Language:Jupyter Notebook