Machine Learning projects and tests
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Updated
Jan 28, 2018 - Python
Machine Learning projects and tests
Discovering useful features in the Kaggle dataset about Titanic survivors
Exploratory analysis of the famous Titanic data set
Titanic: Machine Learning from Disaster - data visualization, EDA, forecasting
i have tried to solve some common data science problems
Learn about Machine Learning basics by using Titanic dataset .
The notebook walks us through a typical workflow for solving data science competitions at sites like Kaggle. There are several excellent notebooks to study data science competition entries. However many will skip some of the explanation on how the solution is developed as these notebooks are developed by experts for experts. The objective of thi…
Titanic Survived Project with 0.78947 Accuracy
In this project, we extracted, transformed, loaded and imported the Titanic dataset into Python Jupiter Notebook. Then, we carried out Exploratory Data Analysis (EDA) as well as logistic regression analysis to predict survivals.
Part of the Ai course project dedicated to build the prediction model for the Titanic passengers
Titanic - Machine learning from disaster competition in Kaggle
A machine learning powered analysis of the famous Titanic data set.
Play with Titanic Datasets. Preprocessing the data into binary representation and predict the survival of the passengers using Python and Scikit learn library
Classification of Titanic Dataset using a feed-forward neural net with TensorFlow
Titanic-survival-Data-Prediction-Machine learning
This is the submission code for Kaggle Titanic Challenge using Logistic Regression. Score is 77.90
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