#计算机科学#This repo includes codes for ML Zoomcamp. If you can follow the tutorials from the link here: https://www.youtube.com/watch?v=rowoDjPc8HU&list=PL3MmuxUbc_hIhxl5Ji8t4O6lPAOpHaCLR 👩🏼💻
#时序数据库#Data Science materials
The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based...
#计算机科学#This project involves the use of K-Means Clustering to find the best accommodation for students in Bangalore (or any other city of your choice) by classifying accommodation for incoming students on th...
Preparing and Cleaning Data
Crime and Incarceration in the United States contain data on crimes that are committed, and the prisoner counts in every 50 states, for which the data is analyzed using various analytical methods.
India GDP Analysis using Python
In this project, I have used logistic regression, a supervised machine learning algorithm, to predict whether a person has diabetes or not based on various features such as age, blood pressure, glucos...
#计算机科学#Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and ...
#计算机科学#End-to-end brain tumor segmentation on BraTS2020 with a modified DUCKNet (U-Net + DenseNet). Includes data preprocessing/augmentation, Keras training loops, and rigorous eval (Dice/IoU), achieving 88....
This is the cumulative repository for the research project Deep Learning Approach to Robotic Prosthetic Wrist Control using EMG Signals done in the AWEAR lab. This repository would consist of all the ...
#算法刷题#For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS
Data Preparation using python (Automobile Dataset)
#计算机科学#DATA SET: https://archive.ics.uci.edu/ml/datasets/Heart+Disease
Data reconciliation and sales analysis for a prestigious wine retailer using Python to assess product performance and pricing accuracy
In this repository, I implement a data preparation process. Data preparation is the stage where we prepare data for machine learning processes or other things related to data analysis.
Need to model the price of houses with the available independent variables. This model will then be used by the management to understand how exactly the prices vary with the variables. They can accord...
#自然语言处理#This project estimates Sentiment Analysis by calculating text Metrices to drive sentimental opinion, sentiment scores, readability, passive words, personal pronouns, etc, etc.
