yandex-praktikum-data-science-projects

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yandex-praktikum-data-science-projects

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Repository containing portfolio of data science projects completed by me during the training courses at Yandex.Praktikum

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<center><h1>Yandex.Praktikum Data Science Projects</h1></center>
<a href="https://praktikum.yandex.ru/"><img width=100% src="https://miro.medium.com/max/1400/0*uVP0WwEWOtpHs40E.png"></a><br><br>
<p align=center>
Repository containing portfolio of data science projects completed by <a href="https://akylson.com">Kanat Akylson</a> during the training courses at <a href="https://praktikum.yandex.ru/">Yandex.Praktikum</a><br>
Presented in the form of iPython Notebooks and readme markdown files. <br>
For a more visually pleasant experience for browsing the portfolio, check out <a href="https://akylson.com">akylson.com</a><br>
<br>
  <a href="https://github.com/akylson/yandex-praktikum-data-science-projects/blob/main/yandex_ds_certificate_en.pdf"><b>Certificate of completion the course (English version)</b> :mortar_board: </a><br>
    <a href="https://github.com/akylson/yandex-praktikum-data-science-projects/blob/main/yandex_ds_ru.pdf"><b>Certificate of completion the course (Russian version)</b> :mortar_board: </a>
</p><br>

<table width=100% valign=top >
  <tr>
    <td width=25%>Project</td>
    <td>Description</td>
    <td width=20%>Used libraries</td>
  </tr>
        <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/16-steel_temperature">Steel temperature</a></td>
    <td>In order to optimize production costs, the steelworks of So Hardening Steel Ltd. decided to reduce the electricity consumption during the steel processing phase. You will have to build a model that predicts the temperature of the steel.</td>
    <td>Python, Pandas, Matplotlib, Seaborn, exploratory data analysis, data visualization, data preprocessing, math, machine learning, gradient boosting, numpy</td>
  </tr>
      <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/15-age_recognition_by_photo">Age recognition by photo</a></td>
    <td>Build a machine learning model that determines the approximate age of a person from a photo. There is a set of photos of people with an indication of their age.</td>
    <td>Pandas, keras, Matplotlib, Seaborn, Computer Vision, Machine Learning</td>
  </tr>
    <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/14-data_research_of_airline_company">Data Research of airline company</a></td>
    <td>Perform uploads and preparation of airline data using SQL, test the hypothesis about the difference in average demand for tickets during different events</td>
    <td>SQL, Python, Pandas, Matplotlib, SciPy, Statistical hypothesis testing</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/13-classifying-comments">Classifying comments</a></td>
    <td>Speeded up the moderation of comments by automating their toxicity assessment. Trained the model to classify comments as toxic and non-toxic.</td>
    <td>Pandas, Python, Machine Learning, NLTK, LightGBM, Sklearn</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/12-predicting-taxi-trips">Predicting taxi trips</a></td>
    <td>Trained a Machine Learning model to predict the number of taxi trips for the next hour.</td>
    <td>Pandas, sklearn, numpy, LightGBM, Matplotlib, StatsModels, CatBoost, Machine Learning</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/11-car-price-prediction">Car price prediction</a></td>
    <td>Trained the Machine Learning model to determine the market value of the car.</td>
    <td>Pandas, Sklearn, Numpy, LightGBM, Machine Learning, CatBoost, XGBoost</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/10-the-algorithm-for-data-protection">The Algorithm for data protection</a></td>
    <td>The personal information of the clients of the insurance company was protected (encrypted), using the data conversion method..</td>
    <td>Pandas, Seaborn, Numpy, Sklearn, Machine Learning</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/09-machine-learning-model-for-a-metalworking-enterprise">Machine Learning Model for a metalworking enterprise</a></td>
    <td>Developed a model predicting the recovery rate of gold from gold ore.
The model helped to optimize production in order not to launch a plant with unprofitable characteristics.</td>
    <td>Pandas, Sklearn, Numpy, Seaborn, Matplotlib, Math, Machine Learning</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/08-development-of-new-oil-fields">Development of new oil fields</a></td>
    <td>Decided in which region to extract oil. Built a machine learning model that helped determine the region where mining will bring the most profit with the least risk of loss.</td>
    <td>Pandas, Sklearn, Math, Numpy, Seaborn, Matplotlib, SciPy, Bootstrap, Machine Learning</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/07-bank-churn-prediction">Bank Churn prediction</a></td>
    <td>Analysis of the outflow of clients from the bank to select a strategy (retaining old clients or attracting new clients)</td>
    <td>Machine Learning, Pandas, Matplotlib, Seaborn, Numpy, Sklearn, Math</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/06-classifying-profitable-plan-for-a-telecom-company">Classifying profitable plan for a telecom company</a></td>
    <td>Built the first Machine Learning model for the classification problem, which finds a suitable tariff</td>
    <td>Machine Learning, Pandas, Numpy, Python, Seaborn</td>
  </tr>
  <tr>
  <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/05-patterns-that-determine-the-success-of-game-platforms">Patterns that determine the success of game platforms.</a></td>
    <td>Using historical data on sales of computer games, user and expert ratings, genres and platforms. I identified patterns that determine the success of a game
</td>
    <td>Python, Pandas, numpy, Matplotlib, Preprocessing data, Exploratory Data Analysis, Statistics, statistical hypothesis testing, Seaborn, SciPy</td>
  </tr>
  <tr>
  <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/04-determination-of-a-profitable-plan-for-a-telecom-company">Determination of a profitable plan for a telecom company</a></td>
    <td>Based on the data of the mobile operators customers, i analyzed customer behavior and found the optimal plan for the company.
</td>
    <td>Python, Pandas, Matplotlib, numpy, SciPy, Statistics, Statistical Hypothesis testing, Math, Seaborn</td>
  </tr>
     <tr>
  <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/03-real-estate-market-analysis">Real estate market analysis</a></td>
    <td>Using data from the Yandex.Realty service, i determined the market value of real estate objects and typical parameters of apartments.</td>
    <td>Python, Pandas, Matplotlib, Exploratory Data Analysis, Data Visualization, Preprocessing Data, Math</td>
  </tr>
   <tr>
  <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/02-research-on-the-reliability-of-borrowers">Research on the reliability of borrowers</a></td>
    <td>Based on statistics on the paying capacity of clients. I researched is the marital status and the number of the client's children affect the fact of the loan repayment on time</td>
    <td>preprocessing data, Python, Pandas, PyMystem3,Lemmatization, SciPy, Matplotlib, Seaborn, SciKitLearn,numpy
</td>
  </tr>
  <tr>
    <td><a href="https://github.com/akylson/yandex-praktikum-data-science-projects/tree/main/01-yandex-music">Yandex Music</a></td>
    <td>Comparison of musical tastes of Moscow and St. Petersburg. How different is the music that plays on the way to work on Monday morning from the one that plays on Wednesday or at the end of the work week.</td>
    <td>Python, Pandas, Numpy</td>
  </tr>
</table>

<br>
<i> Please don't plagiarize any of my projects — it won't help you in the long run!<i>

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