Techie Projects

XGBoost Python Library: Complete Beginner’s Guide for Machine Learning In software development domain, machine learning has become one of the most powerful technologies. Among all ML libraries, XGBoost is most powerful and popular libraries used for classification, predictive modelling and regression tasks. If you’re working on Kaggle competitions, data science projects or production level AI

Hugging Face Python Library – Complete Beginner’s Guide Hugging Face is an open-source python library and popular platforms for Machine Learning (ML), Artificial Intelligence (AI) and Natural Language Processing (NLP). It provides easy access to thousands of pre-trained AI models for task such as sentiment analysis, speech recognition, text generation, image classification and more. Hugging

Fastai Python Library: Complete Beginner’s Guide to Deep Learning Deep Learning and Artificial Intelligence are transforming industries such as robotics, finance, healthcare, automation and computer vision. It will be complex if we develop deep learning model from scratch and time consuming. Then powerful python library fastai comes into picture. Fastai simplifies deep learning development from

NumPy Python Library – Complete Beginner’s Guide Introduction: NumPy is most powerful and widely used library in python for data analysis and numerical computing. It provides support for mathematical operations, large multi-dimensional arrays and matrices. NumPy library is foundation of many popular libraries such as TensorFlow, Pandas and Scikit-learn. If you’re working on projects based

FB Prophet Python Library: Complete Beginner’s Guide for Time Series Forecasting In machine learning and data science, time series forecasting is one of the important tasks. Business use forecasting to predict weather conditions, predict sales, stock prices, website traffic and customer demand. Previously it is known as Facebook Prophet and is one of the beginner

Pyjanitor Python Library: A Complete Beginner’s Guide for Data Cleaning In machine learning and data analysis domain, data cleaning is one of the most important tasks. Raw datasets contain duplicate records, missing values and inconsistent column names and unnecessary formatting issues. In Pandas handling this problem manually can become time-consuming and repetitive. So PyJanitor library

In the domain of scientific computing and data science, handling multi-dimensional datasets is major challenge. Python library like Pandas and NumPy are powerful, it becomes difficult to manage, working with labeled multi-dimensional data such as satellite imagery, climate datasets, simulation outputs and oceanographic measurements. Xarray is a python library designed for working with multi-dimensional labelled