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Tag: Scaler

Importance of Pre-Processing in Machine Learning

Photo by DeepMind on Unsplash  It is quite obvious that ML teams developing new models or algorithms expect that the performance of the model...

Navigating growth during a slowdown: A playbook for scale-ups

In today's episode, Vikram welcomes Shelley Perry, the CEO and Managing Director at Scalelogix Ventures, which is a company focused on guiding scaler founders...

Anomaly Detection in ECG Signals: Identifying Abnormal Heart Patterns Using Deep Learning

Introduction Depending on the sector and the particular example, anomaly detection entails spotting out-of-the-ordinary or erratic patterns in data to spot undesirable or odd events. Anomaly...

5 Pandas Plotting Functions You Might Not Know

Image by rawpixel.com on Freepik  Pandas is a famous data manipulation package used by many. It is famous because it is intuitive and easy...

skops: a new library to improve scikit-learn in production

There are various challenges when it comes to machine learning models in production. These range from reproducibility in versioning to secure serialization. In this...

A Comprehensive Guide to OLS Regression: Part-1

Introduction Ordinary Least squares is an optimization technique. OLS is the same technique that is used by the scikit-learn LinearRegression class and the numpy.polyfit() function...

From Data Collection to Model Deployment: 6 Stages of a Data Science Project

Image by Author  Data Science is a growing field. Let me support this with two different pieces of research. The first one is by Linkedin,...

What is Data Quality in Machine Learning?

f ML models. It will also delve into the ETL piphe techniques used for data cleaning, preprocessing, and feature engineering. By the end...

How to Use Python and Machine Learning to Predict Football Match Winners

Image by Freepik Python is one of the most versatile programming languages out there. Over the years, Python programming has grown to become the...

Accelerate your data exploration and experimentation with the AWS Analytics Reference Architecture library

Organizations use their data to solve complex problems by starting small, running iterative experiments, and refining the solution. Although the power of experiments can’t...

Learning Different Techniques of Anomaly Detection

We used Standard Scaler to make our data normal and plotted a scatter graph.Now we will import DBSCAN to give points to the clusters....

Introduction to Synthetic Control Using Propensity Score Matching

This article was published as a part of the Data Science Blogathon. Here’s a secret, synthetic control methods can solve this problem with utmost...

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