Alternatives and similar repositories for GradientDescent_Implementation

Users that are interested in GradientDescent_Implementation are comparing it to the libraries listed below

• albahnsen / AdvancedMethodsDataAnalysisClass
  ☆18Updated 4 years ago
• xiecong / Simple-Implementation-of-ML-Algorithms
  My simplest implementations of common ML algorithms
  ☆20Updated last year
• mkucz95 / customer_segmentation
  Unsupervised ML: Finding Customer Segments in General Population
  ☆16Updated 5 years ago
• thtang / Business-Analytics-Using-Statistical-Modeling
  BASM - 2017 Spring
  ☆25Updated 7 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 5 years ago
• morganmcg1 / kaggle_rsna_2nd_place_solution
  Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
  ☆30Updated 5 years ago
• erfanMhi / Genetic-algorithms-for-credit-scoring
  Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature se…
  ☆25Updated 6 years ago
• tirthajyoti / Stats_data_science_ValleyML
  Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"
  ☆10Updated 5 years ago
• ashishpatel26 / LeetCode_Solution
  LeetCode Solution
  ☆10Updated 3 years ago
• Pavankunchala / Reinforcement-Learning
  In this all Projects dealing with reinforcement learning wil be uploaded
  ☆12Updated 4 years ago
• random-forests / handson-ml2
  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …
  ☆18Updated 5 years ago
• zhanghang1989 / AutoGluon-Docker
  AutoGluon Docker
  ☆13Updated 5 years ago
• rishanki / Xgboost-VS-Catboost-Vs-LiteGBM
  The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.
  ☆9Updated 7 years ago
• jfpuget / Kaggle_TrackML
  Code for the TrackML competition on Kaggle
  ☆16Updated 4 years ago
• ashishpatel26 / regressionmetrics
  Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn
  ☆12Updated 2 years ago
• innat / Py4-DS
  Data Science Boot-Camp : UC San DiegoX
  ☆17Updated last year
• mratsim / meilleur-data-scientist-france-2018
  My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)
  ☆12Updated 6 years ago
• ArmanBehnam / Courses
  Files of Coursera, Udemy and Udacity courses
  ☆15Updated 3 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• tafseerahmed / Nvidia-DLI-s-C-FX-01
  Nvidia's DLI course for Fundamentals of Deep Learning for Computer Vision
  ☆14Updated 6 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 4 years ago
• ashishpatel26 / Tensorflow_object_detection_api_install_in_single_line
  Tensorflow object detection api in single line
  ☆12Updated 3 years ago
• ashishpatel26 / Kubeflow-installation-on-windows-10
  Kubeflow installation on windows 10/11
  ☆17Updated 2 years ago
• Moeinh77 / Kaggle-House-Prices-Advanced-Regression-Techniques
  House Prices: Advanced Regression Techniques - Kaggle competition
  ☆8Updated 6 years ago
• kaburelabs / Wine-Project-Dash
  My second web development project using Dash.
  ☆10Updated last year
• pradeepsinngh / Data-Science-101
  Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
  ☆21Updated 5 years ago
• serengil / decision-trees-for-ml
  Building Decision Trees From Scratch In Python
  ☆67Updated 5 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• qin-yu / julia-regression-boston-housing
  Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset
  ☆11Updated 6 years ago
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 3 years ago