Stars
对企业网站的新旧页面转化数据进行分析以及A/B测试，得出新旧页面对比数据结果，并按照数据结果提供可行性建议
Natural Language Processing on text data scraped from the web in order to predict the author's political affiliation through machine learning and pattern analysis. Please see ReadMe for more info!
Document classification into four defined categories (World, Sports, Business, Sci/Tech). Text Pre-processing using NLTK. Trained with different models ranging from Naïve Bayes to Convolutional Neu…
Interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.
主要存储Datawhale组队学习中“自然语言处理”方向的资料。
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Self-study on Larry Wasserman's "All of Statistics"
《统计学习方法》笔记-基于Python算法实现
Statistical Machine Intelligence & Learning Engine
Statsmodels: statistical modeling and econometrics in Python
Rossman Store Sales is a popular regression problem analysis from Kaggle dataset. Several Machine Learning algorithms have been used to predict the sales using the training and testing dataset.
Built different linear regression to perform statistical analyses on childhood obesity in the UK with the goal to prediction next year output.
The Real Estate valuation is influenced by various factors. It is complex function of various economic factors, geographical factors, neighborhood, Rea Estate condition etc. The market historical d…
Analysis used R and RStudio for data vasulisation and exploration
Comparative Analysis of Machine Learning-Based Valuation Models for Predicting Residential Real Estate Prices. We examine the U.S. housing market with hedonics from Zillow.com and apply multivariat…
A data analysis and regression project based on IMDB Data. For analysis and regression various libraries such as dplyr, tidyr and Caret used for Data Analysis and Regression. Data Visualization per…
To predict baby birthweight using regression and classify baby birthweight groupings (Low, Normal, Overweight) using classification with machine learning techniques.
Comparing the different types of Regression
My senior year project. Forecasting Turkey's real GDP growth using mixed data sampling regression model.
This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost a…
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms …
An analysis of the time spending habits of American consumers.
A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
Predicting Bike Rental Demand using Linear and Non-linear Regression Models
Best subset selection, forward and backward selection methods, lasso, ridge regression, ordinary linear least squares, and principal component regression - model selection with different criteria (…
Code and data for paper on regression with survey data