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Top 10 Machine Learning Tools You need to Know


It is a free software machine learning library for python programming language. It is a simple and efficient tool for data mining and data analysis. Built on NumPy, SciPy and Matplotlib.


KNIME( Konstanz Information Miner), is a free and open-source data analytics, reporting and integration platform built for powerful analytics on a GUI based workflow.

KNIME integrates various components for machine learning and data mining through its modular data pipelining “Building Blocks of Analytics” concept.

You can download it from here


Developed by Google Brain Team, Tensor Flow is an Open-Source library for numerical computation and large-scale machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

Installing tensorflow
# Requires the latest pip
pip install --upgrade pip

# Current stable release for CPU and GPU
pip install tensorflow

# Or try the preview build (unstable)
pip install tf-nightly

WEKA (Waikato Environment for Knowledge Analysis) is an Open source java software that has a collection of machine learning algorithms for data mining and data exploration tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization.

Download Weka from here


Pytorch is a python based library built to provide flexibility as a deep learning development platform. It is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook’s AI Research lab.

To install Pytorch with conda run:
conda install -c pytorch pytorch

To install Pytorch with pip run:

pip install pytorch

Rapid Miner is a data science platform for teams that unites data prep, machine learning, and predictive model deployment. Rapid Miner brings artificial intelligence to the enterprise through an open and extensible data science platform. Built for analytics teams, Rapid Miner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment.

Google Cloud AutoML

Google Cloud AutoML makes the power of machine learning available to you even if you have limited knowledge of machine learning.

Azure Machine Learning Studio

Microsoft Azure Machine Learning Studio is a collaborative, Drag and Drop Machine Learning tool you can use to build, test, and deploy predictive analytics solutions on your data.

It’s designed to help data scientists and machine learning engineers leverage their existing data processing and model development skills & frameworks. Also, help them to scale, distribute, and deploy their workloads to the cloud. The Azure ML SDK for Python provides classes that we can use to work with Azure ML in our Azure subscription.


Accord.NET is a >NET machine learning framework combined with Audio and Image processing libraries completely written in C#. The framework comprises a set of libraries that are available in source code as well as via executable installers and NuGet packages.


CoLab (Collaboratory) is a free Jupyter Notebook environment that requires no setup and runs entirely on cloud. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education.

Which tools do you use as daily as a Machine Learning developer?? Comment down……….

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