Topic: machin Goto Github
Some thing interesting about machin
Some thing interesting about machin
machin,
User: 10mudassir007
machin,This GitHub repo analyzes online retail data, cleansing and conducting cohort analysis. Explore insights through data visualizations
User: amario1306619051
machin, Used a machine learning model that can predict fare price of flight based on various features & Created a web Interface using HTML, CSS & Flask to use the model.
User: arshveersingharora
machin,Ejercicios de programación del curso Machine Learning de Stanford en Coursera
Organization: doctorado-ml
machin,TMD Box Office Kaggle Competition
User: enricrovira
Home Page: https://www.kaggle.com/enric1296/complete-guide-eda-feat-model
machin,A toy example for deep learning in C.
User: gingerbig
machin,The first AI-Project.
User: greyhub
machin,CNN image classifier using CIFAR 10 dataset
User: guptadivyanshuu
machin,Predicting apartment rent price annually in the Riyadh region. by using a linear regression model.
User: hashehri
machin,Decision Support System Application with Machine Learning Approach in Diagnosis of Diabetes
User: hsynadguzel
machin,Algorithms are implemented for creating models without using Scikit-Learn or Tensorflow.
User: lalalitviyogi
machin,My Docker scripts and Dockerfile for several frameworks.
User: loretoparisi
machin,A Swift-based calculator for the digits of Pi (π), currently hardlimited to a maximum of 10,000 — although this can be easily changed in the storyboard slider limits. This demo uses a Machin-based Pi calculation, except that it uses the Integer package's infinite-sized integers to get as many digits as we want. It still computes the formula: pi = 4 * (4 * arccot(5) - arccot(239)). The user interface is very simple with a slider to control the number of pi digits. Calculations are performed in a background task so the slider motion is not affected during the calculations.
User: mgriebling
machin,2018년 12월 15일 AIBootCamp 친절한 Azure ML Studio HOL입니다 :)
User: mijeongjeon
machin,Stock Price Prediction
User: mohansaidinesh
Home Page: https://stock-price-prediction-annamacharya.streamlit.app/
machin,Tic tac toe game intelligence agent using reinforcement learning
User: mudasiryounas
machin,News summarisation (Supervised and Unsupervised) with source from The Hindu. Worked majorly on machine learning (ML) and natural language processing (NLP).
User: nishanttomar21
machin,Predict stock prices with an intuitive web app. Easy-to-use interface, accurate predictions.
User: pallab2o
Home Page: https://stock-predictor-pallab2o.streamlit.app/#stock-predictor
machin,How to create amazon Ec2
User: prachiblog
machin,Naive Bayes Algorithm Module for python. https://pypi.org/project/naivepy/
User: prathameshdhande22
machin,In practice, due to the relatively small scale of medium, micro-enterprises, and lack of mortgage assets, banks usually provide loans to enterprises with strong strength and stable supply-demand relationships based on credit policies, corporate transaction bill information, and the influence of upstream and downstream enterprises. Banks first assess the credit risk of small, medium, and micro-enterprises and then determine whether to lend and credit strategies such as loan limits, interest rates, and maturity based on credit risk factors. Hence, banks tend to give preferential interest rates to companies with a high reputation and low credit risk. The research includes: (1) Quantify the credit risk based on the credit data of the company (input invoice, output invoice), and give the bank's credit strategy for these companies when the total annual credit is fixed. (2) The production, operation, and economic benefits of enterprises may be affected by some sudden factors. Besides, sudden factors often have different effects on different industries and various types of enterprises. Comprehensively considering the credit risks of each company and the impact of possible sudden factors (such as the new crown virus epidemic) on each company, give the bank's credit adjustment strategy when the total annual credit is fixed.
User: pridelee
machin,Machine Learning with python
User: pritom-sarker
machin,I have created this project as a part of virtual internship programme offered by LetsGrowMore in data Science.
User: priyanshu7129
machin,Set of Notebooks acting as a template for implementing SOTA models in Pytorch.
User: sagarrathi
machin,This repository consist of all the assignments and projects done on deeplearning.ai Deeplearning Specialization.
User: saikamesh
machin,Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.
User: shridhar1504
machin,A comprehensive project on data analysis, model building, and visualization to understand customer purchase trends.
User: shrutithorle
machin,simply crack detection
User: shubbair
machin,Data Analyzing Tools and Converters
User: yash170106065
Home Page: http://13.59.213.190/analyze
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