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Building your first machine learning model using KNIME (no coding required!)
KNIME is a GUI based tool. Explore how to visualise a dataset and extract important features from it in KNIME and build a machine learning model using KNIME
Analytics Vidhya 07 Jun, 2020
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Practical Guide to implementing Neural Networks in Python (using Theano)
Theano is a programming language which runs on top of Python. This article explains deep learning with theano and how implementing neural networks in python.
Aarshay Jain 05 Jul, 2020
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An Introduction to Machine Learning Libraries for C++
Machine Learning is always enjoyed when working with Libraries. Machine Learning Libraries for C++ provides set of libraries for machine learning tasks.
Alakh Sethi 14 May, 2020
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Understanding Polynomial Regression Model
In Polynomial Regression the relationship between the independent and the dependent variable y is described as an nth degree polynomial in x.
Premanand S 15 Jan, 2025
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Python Automation: A Guide to Automate Everything with Python
Explore how to automate tasks with Python, from web scraping to sending emails. Discover essential workflows and boost your productivity.
Analytics Vidhya 13 Feb, 2025
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5 Ways to Reverse a String in Python
Learn how to reverse a string in Python using loops, slicing, recursion, stack, and more. Explore challenges and multiple methods.
Aayush Tyagi 05 Feb, 2025
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Machine Learning 101: Decision Tree Algorithm for Classification
Decision tree Algorithm belongs to the family of supervised ML algorithms. Learn how to use decision tree for classification
Akshay 01 Mar, 2021
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4 Tricky R interview questions
This article will take you through some of the tricky programming questions on R frequently asked in business analytics interviews.
Tavish Srivastava 24 Jun, 2022
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Extract Text from Images Quickly Using Keras-OCR Pipeline
Explore Keras OCR for efficient text extraction from images. Learn about its applications, available Python libraries, see a demo in action.
Devashree 08 Nov, 2024
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Introduction to Exploratory Data Analysis (EDA)
Explore types of Exploratory Data Analysis: Univariate, Bivariate, & Multivariate. Learn techniques to handle missing data and gain insights!
Nikhil 01 May, 2025
