Alper Ersin Balcı

Jul 27

Using Autoencoders in Tensorflow Keras for Anomaly Detection

In anomaly detection, we create artificial networks together through unsupervised learning and try to detect anomalies in a dataset using the reconstruction error. We will do this with the help of Autoencoders in this article. An Autoencoder uses normal data to train the model and all data to make predictions…

Machine Learning

6 min read

Using Autoencoders in Tensorflow Keras for Anomaly Detection

Jul 5

Building Anomaly Detector Using Power BI and PyCaret

How to Create Anomaly Detector in Power BI with the help of PyCaret? Environment Setup Before we can start using the machine learning features of PyCaret in Power BI, we must create a virtual environment and install PyCaret. Step 1 — Create an anaconda environment Open Anaconda Prompt from the start…

Machine Learning

6 min read

Building Anomaly Detector Using Power BI and PyCaret

Jul 5

Machine Learning for Demand Forecasting

Comparative Study of Demand Forecasting Methods for a Retail Store (XGBoost Model and Moving Average) I. Demand Planning & Optimization Problem For most retailers, demand planning systems take a fixed, rule-based approach to forecasting and renewing order management.

Machine Learning

5 min read

Jul 4

Predictive Maintenance & Machine Learning & Rule-Based Algorithms

Should you start with ML first in a predictive maintenance project or should you use rule-based algorithms? Although introductory predictive maintenance concepts are discussed in several articles, few resources are available when it comes to choosing the best approach to predicting a failure. …

Machine Learning

4 min read

Jul 4

Creating Machine Learning Projects in Power BI with PyCaret

A review on combining Power BI and ML algorithms Environment Setups Setting up the Anaconda environment Open Anaconda prompt and run the following code: conda create — name myenv python=3.9 Installing PyCaret After creating the virtual environment, run the following code in Anaconda prompt. conda activate myenv pip install pycaret …

Machine Learning

4 min read

Jul 4

What You Need to Know About Time Series

A time series is a set of numerical observations collected over time (Figure 1). Time series instances appear in many fields, from retail (for example, inventory planning) to finance (stock price forecasting). …

Data Science

8 min read

Jul 4

Power BI and Modeling in Scattered Data

Each square represents a table in the messy way you see below.

Data Science

5 min read

Jul 2

Examples of Data Science Studies in Manufacturing

The amount of data to be stored and processed is increasing day by day. Therefore, today’s manufacturing companies need to find new solutions and use cases for this data. Of course, data benefits manufacturing companies as it allows to automate large-scale processes and speed up execution time. Data science is…

Data Science

5 min read

Jun 24

A Soft Introduction to Plotly

Let’s take a break from Matplotlib and Seaborn libraries in our Data Visualization studies in Python If you are a data worker and you use the Python language, you must have crossed paths with at least one of the Matplotlib or Seaborn libraries. As a data scientist who cares about…

Python

5 min read

May 3

Little Known Pandas Features

We’ll cover some features you might not have come across in intro and intermediate videos and articles. Let’s start. You can obtain the dataset to be used with the code below.

Data Science

4 min read