Yashuv Baskota's Projects
Use unsupervised learning skills to reduce dimensionality and identify clusters in the antarctic penguin dataset
churn prediction in telecom dataset using logistic regression
market basket analysis on groceries dataset using apriori algorithm
crucial data structures and algorithms implementations in C and C++
some insights and program code for Election Algorithm(Bully and Ring), RPC and RMI, Clock Synchronization(Logical and Vector) and Banker's Deadlock Avoidance Algorithm
Classification of Textual E-Mail Spam Using Naïve Bayes Classifier
This project aims to develop an Emotion-Based Music Recommendation System using facial expressions, leveraging the power of CNNs to analyze facial images, classify the user's emotional state, and recommend music based on those emotions.
Google IT Automation with Python Professional Certificate
Handwritten Devnagari Optical Character Recognition(OCR) using CNN and OpenCV
classifies the damage grade of a house using ML algorithms, including decision trees, random forests, XGBoost, and multinomial logistic regression.
Google IT Automation with Python Professional Certificate - Practice files
implements logistic regression from scratch for sentiment analysis on tweets dataset, and predict on our own.
implements machine translation and see how locality sensitive hashing works for document search
predict analogies between words using word vectors, use PCA to reduce dimensionality of word embeddings, and plot them
predict the class of YouTube comments using multinomial naïve bayes classifier
implements Naive Bayes from scratch for sentiment analysis on tweets data
A well structured practical deep dive into functional programming in NumPy.
create the Decision Tree classifier and visualize it graphically, and predict new point
perform prediction using logistic regression model on given data
using k-means clustering on Iris dataset, predict the optimum number of clusters and represent it visually
Python for Data Science, AI & Development - offered by IBM on Coursera
different examples of powerful pythonic list comprehension
Just a simple fun game created using c++ sfml library.
Classification of Textual E-Mail Spam Using Naïve Bayes Classifier integrated in Streamlit Application
Yashuv Baskota Introductory