Data Mining Techniques
Data mining is the process of extracting or mining valuable insights and knowledge from vast amounts of data. It is a multidisciplinary...
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The Tech Platform
- Jan 16
Best Programming Languages for Data Science
Data Science Programming Languages spell productivity and the ability to store data in large chunks. The realm of data science comes with...
The Tech Platform
- Nov 18, 2022
Introduction to AIOps. Difference between AIOps and MLOps
AIOps - Artificial Intelligence for IT Operation AIOps combines big data and machine learning to automate IT operations processes,...
The Tech Platform
- Nov 11, 2022
DVC Commands for Data Science
What are DVC Commands? DVC is a command-line tool written in Python. It mimics Git commands and workflows to ensure that users can...
The Tech Platform
- Jun 10, 2022
What types of AI Tools and Framework to consider for your applications
Artificial Intelligence (AI) is the machine-displayed intelligence that simulates human behavior or thinking and can be trained to solve...
The Tech Platform
- May 16, 2022
AI vs ML vs DL vs DS: The Difference
Artificial Intelligence Artificial Intelligence is a branch of computer science. It involves building smart machines capable of...
The Tech Platform
- May 11, 2022
How To Structure a Data Science Project?
A data science project is a practical application of your skills. A typical project allows you to use skills in data collection,...
The Tech Platform
- May 4, 2022
7 Steps to Mastering SQL for Data Science
SQL is a standard language for storing, manipulating and retrieving data in databases. Our SQL tutorial will teach you how to use SQL in:...
The Tech Platform
- Apr 22, 2022
What is OFDM in Wireless System
OFDM: Orthogonal Frequency Division Multiplexing OFDM is a form of signal modulation that divides a high data rate modulating stream...
The Tech Platform
- Apr 19, 2022
Data Science Project Lifecycle
A Data Science life cycle is nothing but a repetitive set of steps that you need to take to complete and deliver a project/product to...
The Tech Platform
- Apr 11, 2022
Data Scientists, The 5 Graph Algorithms that you should know
We as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database. We are used to seeing our users...
The Tech Platform
- Feb 8, 2022
13 Important Pandas Function used in Data Science
Python is one of the most widely used language for Data Analysis and Data Science. Python is easy to learn, has a great online community...
The Tech Platform
- Jan 6, 2022
Complete Machine Learning pipeline for NLP tasks
End-to-end Machine Learning pipeline for Named Entity Recognition in emails with basic implementation The pipeline architecture...
The Tech Platform
- Jan 4, 2022
How to Deploy Machine Learning Models?
Machine learning models have become an integral part of many businesses and industries. With the increasing amount of data available, it...
The Tech Platform
- Nov 24, 2021
PCA using Python
Original image (left) with Different Amounts of Variance Retained To understand the value of using PCA for data visualization, the first...
The Tech Platform
- Nov 9, 2021
AUC - ROC Curve in Machine Learning
In Machine Learning, performance measurement is an essential task. So when it comes to a classification problem, we can count on an AUC -...
The Tech Platform
- Nov 3, 2021
What is the difference between Data Science and Machine Learning?
Data Science Data science is a multidisciplinary approach to extracting actionable insights from the large and ever-increasing volumes of...
The Tech Platform
- Oct 22, 2021
Data Scientist’s Guide to Efficient Coding in Python
We are giving real-life coding scenarios where we have actually used them! 1. Use tqdm when working with for loops. Imagine looping over...
The Tech Platform
- Oct 20, 2021
Introduction to feature engineering for time series forecasting
Applying Python packages and Machine Learning to accelerate forecasts enables the scalability, performance, and accuracy of intelligent...
The Tech Platform
- Oct 18, 2021
Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning
The categories included in this post, which we see as taking into account common data science libraries — those likely to be used by...
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