Applications of Python GeoPandas Library
Explore GeoPandas for GIS analysis, automating geo-processing tasks, creating density maps, geocoding, and mapping real-world data like COVID-19 cases using Python.
Machine Learning and Deep Learning Bootcamp Series
Comprehensive bootcamp covering machine learning and deep learning, from data extraction to model evaluation, using Python, Scikit-learn, and Spark MLlib.
Machine Learning & Deep Learning Projects
Hands-on projects in machine learning and deep learning, covering chatbots, sentiment analysis, image captioning, speech recognition, customer segmentation, and facial expression detection.
Machine Learning Using Spark MLLib
Learn to implement machine learning algorithms using Spark MLLib, covering linear regression techniques, data preprocessing, model building, and evaluation methods in a hands-on, practical approach.
The Fun and Easy Guide to Machine Learning - Tutorials
Comprehensive introduction to machine learning algorithms, from regression to neural networks, with practical Python implementations and engaging whiteboard explanations for beginners and enthusiasts.
Mask R-CNN - Practical Deep Learning Instance Segmentation Tutorials
Learn to implement and train Mask R-CNN for instance segmentation using OpenCV and Python, covering installation, real-time applications, and custom object detection like potholes.
Pose Estimation - Deep Learning Using OpenPose Tutorials
Learn to implement pose estimation using OpenPose, covering installation, people counting, fall detection, yoga pose recognition, and more. Gain practical skills in computer vision and deep learning applications.
Detectron2 Tutorials
Learn object detection and segmentation using Detectron2, covering installation, data preparation, and implementation with OpenCV and Python for computer vision applications.
YOLOR Object Detection Tutorials - You Only Learn One Representation
Learn advanced object detection techniques with YOLOR, covering implementation, optimization, and real-world applications in computer vision and AI. Gain practical skills for various industries.
From Python to Rust
Comprehensive series bridging Python and Rust, covering fundamental concepts, advanced topics, and practical applications for seamless transition between the two languages.
Basic Programs in Python
Learn Python programming fundamentals through hands-on practice with basic concepts and essential algorithms. Ideal for beginners, covering topics from leap year calculation to matrix multiplication.
Python Tkinter Tutorial
Learn Python Tkinter for GUI development, covering widgets, libraries, and practical projects like language translators, digital clocks, and video-to-GIF converters. Gain hands-on experience in creating interactive applications.
KMP Algorithm in Python
Learn the KMP pattern matching algorithm, its implementation in Python, and its applications in computer science. Understand the advantages over naive algorithms and analyze time complexity.
Used Smartphone Price Prediction
Learn to predict used smartphone prices using data visualization and science techniques on Jupyter, with hands-on demos and practical insights for tech-savvy individuals interested in market trends.
Tower of Hanoi in Python
Learn to solve the Tower of Hanoi puzzle using Python, covering concepts like dynamic programming and recursion. Gain practical coding skills and understand complexity analysis.
Digital Clock Using Python
Learn to create a digital clock using Python, GUI, and Tkinter. Explore time modules, label functions, and strftime for a hands-on project in graphical interface development.
Convert Video to GIF Using Python
Learn to convert videos to GIFs using Python's Moviepy library. Explore VideoFileClip function, code implementation, and practical demonstrations for various video formats.
Pandas Query
Learn efficient data analysis using Pandas in Python, including the df.query method and its conditions. Hands-on demonstration using Jupyter IDE for practical application of concepts.
Textblob
Explore TextBlob for NLP tasks: preprocessing, sentiment analysis, and text vectorization. Learn to clean text data, handle stopwords, and implement sentiment analysis using Python.
Machine Learning and Deep Learning Maths - Matrix and Vector Operations
Explore essential matrix and vector operations for machine learning and deep learning using Python, covering creation, manipulation, and mathematical computations.
Read CSV Files, Extract Dataset Scikit Learn & Simulate Data Using Python - Machine Learning
Learn to extract data from CSV files and databases, use scikit-learn for dataset manipulation, and simulate various types of machine learning data in Python.