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#!/usr/bin/python
# -*- coding: utf-8 -*-


class DataScientist:

    def __init__(self):
        self.name = "Tolbayev Muntasir"
        self.role = "Python Developer"
        self.direction = "AI Development | Machine Learning | Data Analysis"
        self.language_spoken = ["ru_RU", "en_US"]

    def say_hi(self):
        print("Thanks for dropping by, hope you find some of my work interesting.")


me = DataScientist()
me.say_hi()

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Tolbaev Muntasir's Projects

blockchain icon blockchain

A basic implementation of a blockchain in Python using the SHA-256 hashing algorithm. This project provides a simplified example of how a blockchain works, with a focus on the core concepts of block creation, hashing, and linking blocks together.

convexoptimization icon convexoptimization

One of the main challenges of Data Science and more specifically in Machine Learning is the performance measure. How to measure performance efficiently so that our model predictions meet the business objectives?

datascraping icon datascraping

Using python libraries requests and BeautifulSoup4, return a CSV of the TOP 25 trending repositories from Github.

ds_babel icon ds_babel

Translate from one format to another. Work with two popular formats: SQL and CSV.

gc icon gc

Creating a garbage collector in the C programming language

justdoit icon justdoit

Sparring with a Python Language. 100 Exercises

linearregression icon linearregression

Find tendencies and to generalize.A linear model makes predictions by computing a weighted sum of the features (plus a constant term called the bias term)

m_and_a icon m_and_a

Here we harness the power of Big Data to unlock insights, drive decision-making, and transform data into value. Our project is dedicated to tackling the complexities of large-scale data processing and analysis, providing tools and resources to make data-driven solutions accessible to all.

mobapp_studio icon mobapp_studio

This project involves analyzing the "My MobApp Studio" dataset to uncover valuable insights into the mobile app landscape. The challenge lies in navigating the dataset, cleaning and preprocessing the data, visualizing trends, and interpreting the correlations and relationships between attributes.

nbagame-analysing icon nbagame-analysing

Data and tools for analyzing the games of the National Basketball Association (NBA). It contains information about various game statistics such as points, shots, assists, baskets, etc.

open_the_iris icon open_the_iris

another project of the Qwasar platform where we use ScikitLearn technology

scraper icon scraper

About Using python libraries requests and BeautifulSoup4, return a CSV of the TOP 25 trending repositories from Github.

vivino icon vivino

Upgrading wine recomendation system. We have collected and cleaned wine-related data, explored its patterns and correlations, and developed a machine learning model to provide wine recommendations based on user preferences.

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