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Sarah Lea

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Sarah Lea
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Python in Plain English

Beginner’s guide to predicting Time Series data with Python

This article delves into various modeling techniques such as linear regression, (S)ARIMA, TBATS, and exponential smoothing.

Feb 15

Time Series Forecasting with Python (Linear Regression, SARIMA, Exponential Smoothing, TBATS)

Feb 15

Sarah Lea
in
Python in Plain English

How I started the Task to estimate Used Car Prices with Machine Learning: A Beginner’s Guide

How do you estimate the price of used cars? Read about ML-Models such as Random Forest, Support Vector Machines or XGBoost.

14h ago

Price Estimation with Machine Learning.

14h ago

Sarah Lea
in
Python in Plain English

Beginner’s Guide to Advanced Techniques for Time Series Forecasting with Deep Learning

In the evolving landscape of data science, deep learning has emerged as a powerful tool for predicting time series data. Although…

Jul 22

Beginner’s Guide to Advanced Techniques for Time Series Forecasting with Deep Learning

Jul 22

Sarah Lea
in
Python in Plain English

How I started with PyTorch — Essential Tips and Steps for Beginners

If you use deep learning models, it is best to use frameworks like PyTorch or TensorFlow. To evaluate which models are best suited for…

Jul 15

How to get started with PyTorch. Essential Tips and Beginner Guide for the Deep Learning Framework.

Jul 15

Sarah Lea
in
Python in Plain English

Discovering the Best ML Model for Energy Forecasting: Which Tops the List? (Part 2)

Over the last five months, I have compared 6 different machine learning models to predict energy consumption data over 48 hours. In…

Jun 4

Energy Consumption Forecasting with different Machine Learning Models and Deep Learning Models.

Jun 4

Sarah Lea
in
Python in Plain English

Beginner’s Guide to Comparing Six Machine Learning Models for Energy Consumption Forecasting: A…

Over the last five months, I have compared 6 different machine learning models to predict energy consumption data over 48 hours. In…

Jun 4

Energy Consumption Forecasting with different Machine Learning Models and Deep Learning Models.

Jun 4

Sarah Lea
in
Python in Plain English

A Practical Dive into NumPy and Pandas: Data Analysis with Python

If you’re using Python for data analysis or data science, you’ll quickly encounter the commands ‘import numpy as np’ and ‘import pandas as…

Mar 12

A Practical Dive into NumPy and Pandas: Data Analysis with Python

Mar 12

Sarah Lea
in
Python in Plain English

Mastering Time Series Data: 9 Essential Steps for Beginners before applying Machine Learning in…

9 essential steps that you should perform before applying classical machine learning models.

Mar 2

Exploratory Data Analysis with Python for Time Series Data

Mar 2

Sarah Lea
in
Python in Plain English

Python Data Analysis Ecosystem — A Beginner’s Roadmap

Python is one of the most widely used programming languages. Find out the easiest way to get started and what to consider.

Feb 21

Different Tools as Anaconda, Conda, JupyterLab and scikit-learn for the Python Ecosystem.

Feb 21

Sarah Lea

Time Series Made Simple — Connect InfluxDB and R for Data Science Beginners

Discover how to connect InfluxDB with R-Studio for time series analysis. Understand ARIMA models and use them for forecasting.

Feb 6

Time Series Made Simple — Connect InfluxDB and R for Data Science Beginners

Feb 6

Sarah Lea

Sarah Lea

I'm a digital creator who loves reading, writing and learning new stuff with a background in Business Informatics & AI. Read more in Data Science Espresso.

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