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Hello world!👋

I Kishan Kumar passionate about using artificial intelligence to make the world a slightly better place. Typically, I like to work on projects involving machine learning, Deep learning, or any analyses involving human behavior. In my spare time, you will often find me working on personal projects to help those starting out AI-world.

Data Science projects
Project Tags
Iris-Classifier-WebApp
Titanic: Machine Learning from Disaster
House Prices Prediction-BOSTON Housing Dataset
Traffic-Sign-Board-Recognition
American Sign Language-Recognition
House Prices Prediction-Ames Housing dataset
Digit Recognizer-Recognition

Coding

    About Me

  • I'm an Aspiring Data Scientist & have 4.5 Yrs of experience as a Data Analyst.
  • love to learn new Technologies.
  • Ask me anything Here or Email
  • Please feel free to clone projects, raise issues and submit PRs if you think something could be better.

   🔥Stack I work with

  • Tools: MS Adv. Excel, MS PP, Power BI
  • Languages: Python, Markdown, HTML.
  • Frameworks/Packages: Numpy, Pandas, MatplotLib, Seaborn, Scikit learn, Keras & Tensorflow.
  • Plateform: Jupiter Notebook, Spider IDE, Google Colab, PyCharm IDE, MySQL.
  • Other Skills: Data Science Methodology, Statistic, Exploratory Data Analysis, Model Development & Evaluation Metrics, Data Wrangling, Data Visualization, Quantitative Methods, Machine & Deep Learning Algorithms(Linear & Logistic Regression, Tree, KNN, SVM, CNN)

I Love Coding!😊Keep Learning👨‍🎓️️

visitors

Kishan Kumar's Projects

feature-engineering icon feature-engineering

Imbalanced Classes, Resampling techniques, filling null value, Date,Time, Alphanumeric data

numpy icon numpy

Numeric Python, it is a Linear Algebra Library for Python. Arrays: vectors and matrices, familiar with function such as arange,rand, matrix multiplier etc.

pandas-practice icon pandas-practice

Pandas is data analysis and manipulation tool. Practices With Dataframe, series,looking on values, droping, Split,Merge,join, concatenate, Pivot, Grouping, handling on missing value.

sentiment-analysis-with-rnn icon sentiment-analysis-with-rnn

Sentiment analysis probably is one the most common applications in Natural Language processing. I don’t have to emphasize how important customer service tool sentiment analysis has become.

titanic_dataset_prediction icon titanic_dataset_prediction

To build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc)

unittesting icon unittesting

Guide for applying Unit Testing in data-driven projects

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