024 List Implementation

Hello, everyone, Welcome to the AI BootCamp Channel. In this video, you will study some basics of Python. Python is an interpreted, high-level, general-purpose programming language. High-level because of the amount of abstraction, it is very abstract and uses natural language elements, which are easier to use and understand. It makes the whole process simpler and more automated than lower-level languages.

So what I have aimed for is to make notes, tutorials, and projects on machine learning, deep learning, Computer Vision, and Natural Language Processing. The notes and tutorials will be prerequisites for beginners. My main target is to do as many projects as I can.

These are the topics that I will be focusing on.

Python: Basics, i.e., IF-EL else, LOOPS, FUNCTIONS, CLASSES, NUMPY, PANDAS, REGULAR EXPRESSIONS, WEB SCRAPING, etc.
Projects:
Creating a Receipt Printing Program, Creating a Calculator, Creating Hangman, Creating a Shopping Cart, Creating a User Database with CSV Files, Creating Blackjack, Web Site Analysis, Interview Prep.

Data Science: Probability, Statistics, Database, Data Analysis, Data Visualization, etc.
Projects:
Covid19 Data Analysis Using Python, Analysing WhatsApp Chat Data, Covid-19 Death Medical Analysis & Visualization using Plotly, Facebook Network Analysis using Python and Networkx, Life Expectancy Prediction with Machine Learning, etc.

Machine Learning and Deep Learning: APRIORI ALGORITHM, DECISION TREE, DIMENSIONALITY REDUCTION ALGORITHM, ENSEMBLE LEARNING, FEATURE SELECTION, FEATURE EXTRACTION, GRADIENT BOOSTING ALGORITHMS, K MEANS CLUSTERING, K NEAREST NEIGHBOUR LINEAR REGRESSION, LOGISTIC REGRESSION, NAIVE BAYES, PCA, RANDOM FOREST, REGULARIZATION, SUPPORT VECTOR MACHINE, ARTIFICIAL NEURAL NETWORK, AUTOENCODERS, CONVOLUTIONAL NEURAL NETWORK, MULTILAYER PERCEPTRON, RECURRENT NEURAL NETWORK, RESTRICTED BOLTZMANN MACHINE, SELF ORGANIZING MAP, etc.
Projects:
Machine Learning Image Classifier with Python, Malaria parasite detection using ensemble learning in Keras, XG-Boost Car Price prediction, K-Means Clustering- World Happiness, Twitter Sentiment Analysis, Naive Bayes- Resume Selection, Recommender System, Predicting Weather, Corona Virus Prediction, Detecting COVID-19 with Chest X-Ray using PyTorch, Instagram Fake Profile Detector, etc. So it will be an amazing journey preparing and presenting these contents to everyone. I hope that everyone will find it beneficial for freelancing, job seeking, and other reasons. If you want to be a part of a community, then Subscribe to the channel and press the bell icon so that you do not miss any of the lectures.

Python Projects for Beginners A Ten-Week Bootcamp Approach to Python Programming— Connor P. Milliken

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