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avikumart/README.md

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Hi there! 👋

My name is Avikumar Talaviya.
I am practicing Data Scientist.
Currently learning and working with Python, SQL, Sklearn, Pandas, Matplotlib, Tensorflow,and Keras

📫 How to reach me:innocent:

   

Avikumar's GitHub Streak

Avikumar's GitHub stats

My Interests 😍

  • Python
  • Machine learning
  • Deep learning
  • Data science
  • Data analysis

Languages and software that I know and/or use:

Python

Git

VSCode

Pandas

NumPy

Keras

SQL

Sklearn

Streamlit

Shap

mpl

seaborn

statamodels

tf

rapids

colab

postgres

wandb




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  1. Natural-language-processing Natural-language-processing Public

    In this notebook, I am updating NLP notebooks, and projects

    Jupyter Notebook 11 1

  2. imbalanced-classification-problem-with-GAIN-LIFT-chart imbalanced-classification-problem-with-GAIN-LIFT-chart Public

    In this project, I have take bank target marketing dataset with imbalanced classes, I have solved it through GAIN&LIFT chart as well as over-sampling method of sklearn utils.

    Jupyter Notebook 2

  3. Time-series-analysis-and-forecasting Time-series-analysis-and-forecasting Public

    In this repository, I have mentioned all the time series analysis methods from statsmodels library to analyse and model time-series data.

    Jupyter Notebook 35 4

  4. Computer-vision Computer-vision Public

    In this repository, I am updating computer vision ML notebooks and techniques.

    Jupyter Notebook 6

  5. Road-Traffic-Severity-Classification-Project Road-Traffic-Severity-Classification-Project Public

    This is a multiclass classification project to classify severity of road accidents into three categories. this project is based on real-world data and dataset is also highly imbalanced.

    Jupyter Notebook 17 7

  6. Principal-Component-Analysis Principal-Component-Analysis Public

    here's code for PCA and it's importance in data reduction to avoid multi-collinearity in dataset.

    Jupyter Notebook 2