baatar1234 Goto Github PK

average-word2vec

🔤 calculate average word embeddings (word2vec) from documents for transfer learning

classification_problem

Model to predict if a student will pass or fail

congressional_voting_prediction

Implementation and use of decision trees to classify congress members based on how they voted on bills, or predicting voting on bills based on party membership. This is a primitive version that does not generalize to new voting issues with the use of nltk's semantic analysis. Plus, extensive use and optimization are yet to be done. This is a work in progress.

demo3pygit

demooopygit

demopygit1

embedding

한국어 임베딩 (Sentence Embeddings Using Korean Corpora)

football-match-winner-prediction

Project to create machine learning models to predict the outcome of a football match

githibtest

heropygit

insurance-cost-prediction-using-linear-regression-

In this assignment we're going to use information like a person's age, sex, BMI, no. of children and smoking habit to predict the price of yearly medical bills. This kind of model is useful for insurance companies to determine the yearly insurance premium for a person. The dataset for this problem is taken from: https://www.kaggle.com/mirichoi0218/insurance We will create a model with the following steps: Download and explore the dataset Prepare the dataset for training Create a linear regression model Train the model to fit the data Make predictions using the trained model

machinelearningfinal

A machine learning system using Decision Trees and SVM's which predicts the votes of members of congress at 80% acurracy.

mlcongress

With Barry Chen and Vivian Hu: Using topic models to predict congressional bill pass / fail

nlp-prediction-notebook

A general notebook outlining an example of how to process and build prediction models for NLP classification tasks, in this case, a subjectivity dataset. Also includes word embeddings and deep learning models + interpretation tutorial using pytorch.

notebooks

Repo for small projects that fit inside a Jupyter Notebook. Inside: word2vec news analysis and regression, tutorial on working with survey data, and more.

predicting-student-pass-fail

Creating 2 Classification models including Logistic Regression & Decision Tree to predict pass or fail of students in a class

stat289-f20

Course Notes for Introduction to Data Science, Fall 2020

test_demo

titanic-passenger-survival-prediction

The goal of the model is to predict whether a passenger survived the Titanic disaster, given their age, class and a few other features.

wine-qulaity-predictions

Problem Statement: To predict the quality of wine to a range 1-10 from given 11 attributes.