eliekawerk / Real_Estate_Tycoon_projectLinks
Predict Housing Prices using Machine Learning.
☆23Updated 8 years ago
Alternatives and similar repositories for Real_Estate_Tycoon_project
Users that are interested in Real_Estate_Tycoon_project are comparing it to the libraries listed below
Sorting:
- Machine learning Regression problem with easy understandable solutions☆36Updated 7 years ago
- Jupyter Notebook and Python business intelligence tools and techniques. [Raw upload]☆85Updated 2 years ago
- Code repository supporting the medium blog☆12Updated 5 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆137Updated 7 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆103Updated 6 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest…☆174Updated 6 years ago
- Machine learning and process automation☆137Updated 3 years ago
- Tracking, notes and programming snippets while learning predictive analytics☆43Updated 9 years ago
- Create Interactive Dashboards with Streamlit and Python Coursera☆10Updated 5 years ago
- Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features☆34Updated 6 years ago
- ICR - Automated and Intelligent Company Report Built in Python (by @firmai)☆181Updated 3 years ago
- Explore 120 million taxi trips in real time with Dash and Vaex☆117Updated 5 years ago
- [Big Data Analytics]Analyzing relationship between changes in weather and its impact on the city taxis☆13Updated 8 years ago
- A template for a dash applicaiton☆57Updated 3 years ago
- Quick EDA on a data set to determine what segments there are.☆31Updated 6 years ago
- Repository to maintain all my clutter☆74Updated 4 years ago
- Work for Mastering Large Datasets with Python☆20Updated 3 years ago
- ☆14Updated 6 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Exploratory Data Analysis with Pandas and Python 3.x, published by Packt☆44Updated 2 years ago
- Source code for 'Practical Python AI Projects' by Serge Kruk☆103Updated 5 years ago
- Understanding time series forecasting☆65Updated 5 years ago
- Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.☆143Updated 6 years ago
- basic pandas tutorials☆52Updated 8 years ago
- Code to repeat the experiments of "The economic value of neighborhoods: Predicting real estate prices from the urban environment"☆78Updated 3 years ago
- This is the code for "AI for Supply Chain" by Siraj Raval on Youtube☆158Updated 7 years ago
- Analysis with Covid-19 data☆59Updated 5 years ago
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆93Updated 7 years ago
- Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning☆27Updated 2 years ago