Data Science and Machine Learning

Data Science and Machine Learning Tutorials
Such as NLP,ML,DL,AI and more

How to Save Uploaded Files to Directory in Streamlit Apps

Sometime ago we learnt about how to upload files and process the uploaded files in Streamlit. We dived deeper into the Streamlit UploadedFile Class and how it reads it as a file-like Byte IO type. In this tutorial we will learn about how to save our uploaded file into a directory. This is useful in …

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Using Golang For DataScience

Using Go For Data Science.Is it Easy?

Go also know as Golang is a simple yet powerful programming language created around 2009 and backed by Google. Go is  fast, statically typed, compiled language that feels like a dynamically typed, interpreted language. With a lot of features built within it, it is a great tool. In this series of tutorials and posts we …

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pypolars tutorial

PyPolars – Data Analysis with PyPolars – a Pandas Alternative

Pandas is one of the best libraries for doing data analysis in general. It is so popular and useful that it has become the defactor DataFrames library when doing Data Science in Python. However, there are times that your dataset may be too big for Pandas and too small for PySpark – this is where …

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Build and Deploy Flask App Using Hashicorp’s Waypoint

In this tutorial we will explore Waypoint – a tool designed by Hashicorp to build,deploy and release your application with ease and simplicity. Waypoint makes it easier for developers to build,deploy and release most applications using a similar and simple workflow. The main requirement includes Your App requirements.txt : For the app you want to …

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How to Create Requirements.txt File In Python

When working on any python project or data science project it is essential to always work in an environment that makes your project reusable and repeatable without any issues for anyone that picks up your project in the future. This will even help you yourself when you revisit your project in the future. One of …

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3 Exploratory Data Analysis Tools In Python For Data Science

Exploring your dataset is an essential aspect of every data science task or project. As an aspect of the Data Science Life Cycle , it allows you to derive descriptive and practical insight into what your data comprises of. It is essential to know how to derive such insight from your data by creating your …

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Text Classification with Flair – Pytorch NLP Framework

In today’s tutorial we will be exploring another powerful natural language processing library called Flair. We will be seeing how to use Flair for text classification. Specifically we will learn how to build a model to predict or classify text as either offensive or non-offensive. What is Flair? Flair is a state of the art(SOTA) …

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How to Run Streamlit Apps From Google’s Colab

The simplicity that streamlit offers for building apps is so cool and useful. But sometimes you may be constrained by lack of compute or incompatible  working environment on your local computer. In most cases Colab solves that problem. But what if you want to share your streamlit app with others from Colab. In this tutorial …

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Exploratory Data Analysis of Drug Review Dataset using Python

Exploratory Data Analysis is an important aspect of any data science project. It forms the initial steps before moving into the Machine learning aspects. In this tutorial we will be exploring the drug review dataset using python in an elaborate way.  In doing EDA (exploratory data analysis) it is recommended to keep in mind the …

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