s-b-iqbal Goto Github PK

followers: 15.0 following: 32.0 repos: 21.0 gists: 0.0

Name: ......

Type: User

Twitter: MusingIqbal

Blog: https://s-b-iqbal.github.io/Reflexione/about/

Aloha! 👋

from dataclasses import dataclass,asdict
 
@dataclass
class DataScience:
    languages: tuple[str, ...] = ("Python", "R")
    tools    : tuple[str, ...] = ("ScikitLearn", "PyTorch", "SpaCy","HuggingFace", "Scrapy")
    databases: tuple[str, ...] = ("SQLite", "MySQL")
    skills   : tuple[str, ...] = ("Machine Learning", "Deep Learning", "Forecasting", "NLP", "Statistics")
    socialmedia  : str             = field(default="Anonymous!", 
                                       metadata={
                                        'Blogs': 'https://s-b-iqbal.github.io/Reflexione/',
                                        'Twitter': '@MusingIqbal'})


me = DataScience()
print(asdict(me))

......'s Projects

a-hard-rains-a-gonna-fall

Python Based implementation of OpenWeatherMap API for making a 5 day(3 Hour) forecast.

bayesian-evaluation-of-text-classification-models

Project Report submitted in partial fulfillment of Text Mining Course(732A92)

concrete-strength-analysis-using-ann

The objective of this project is to demonstrate the use of Artificial Neural Networks in predicting the compressive strength of concrete.

fuzzywuzzy-demo

Implementation of various Fuzzy Search Algorithms for String Matching

image-classification-using-svm

The project demonstrates how an SVM model can successfully identify and classify image of all the alphabets.

interactive-machine-learning-app

A GUI based Machine Learning Web Application for non ML Experts. It simplifies the understanding by presenting model results visually. The User has to only upload Dataset to see the results.

ml-notes

R code snippets to aid '732A99' Machine Learning course offered at Linkoping University.

predicting-power-output-of-a-combined-cycle-power-plant.

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

s-b-iqbal Goto Github PK

Aloha! 👋

......'s Projects

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