Housing Prediction Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques
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Updated
Jun 6, 2017 - Jupyter Notebook
Housing Prediction Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques
This is a mini project based on two pre-trained models Linear and Convolutional neural networks, and perform predictions in real time according to a draw area where you can draw the digit using the mouse.
Simple Linear Regression in Python using Scatter Plot. Update it with your dataset. This code will work for any dependency of form H:X->Y . I have attached a pdf document of my own notes for this model. Feel free to download. Note : The pdf is for help purpose. Any type of reuse or restructuring is subject to copyright.
This repo explores tweets and government data related to flu vaccination
a neural network that classifies handwritten digits
Analyze data to see how Disney movies have changed in popularity since its first movie release. Also perform hypothesis testing to see what aspects of a movie contribute to its success.
Using the logistic regression model to solve some real-world problems, we can explorer different possibilities and outcomes from it.
Estudo de Regressão Linear efetivado a partir do Dataset disponível em <https://www.kaggle.com/marcospessotto/happiness-and-alcohol-consumption>
AHL expected goals linear model in tensorflow
Splitting data into Linear Model, Exponential, Qaudratic, Additive seasonality , Additive Seasonality Quadratic , Multiplicative Seasonality, Multiplicative Additive Seasonality. Prediction for new time period
Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","st…
Basic exercises of chinese information processing
Practical Extension of Introductory Statistics in Psychology using R
R programming and its application to data analysis and statistical methods
LAMA - automatic model creation framework
This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.
TensorFlow2 digits classification - Linear Classifier and MLP
Detect whether a social media comment is insulting or derogatory
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