#junior #middle #ds #regression
Explanation on some good technics in DS with code based on House Price Competition https://www.kaggle.com/agehsbarg/top-10-0-10943-stacking-mice-and-brutal-force
Explanation on some good technics in DS with code based on House Price Competition https://www.kaggle.com/agehsbarg/top-10-0-10943-stacking-mice-and-brutal-force
Kaggle
Top 10 (0.10943): stacking, MICE and brutal force
Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources
#junior #ds #forecasting #tutorial https://towardsdatascience.com/an-end-to-end-project-on-time-series-analysis-and-forecasting-with-python-4835e6bf050b
Medium
An End-to-End Project on Time Series Analysis and Forecasting with Python
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
#junior
Good introduction article about base things
https://towardsdatascience.com/estimators-loss-functions-optimizers-core-of-ml-algorithms-d603f6b0161a
Good introduction article about base things
https://towardsdatascience.com/estimators-loss-functions-optimizers-core-of-ml-algorithms-d603f6b0161a
Medium
Estimators, Loss Functions, Optimizers —Core of ML Algorithms
In order to understand how a machine learning algorithm learns from data to predict an outcome, it is essential to understand the…