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vaibhav-sing-bisht/README.md

Hello there! My name is Vaibhav

1_U3WRRwLx3zeDkHmIVGLJdw

👀 I’m interested in .....

🔡 Model building, 📈 Data science, 🔃 Machine Learning, 📊 Data Visualization, 🧑‍🔧 Mechanical Engineering 📸 photography.

👨‍🎓 I’m currently learning ...Post Graduation in Data science and Business Analytics.

👷‍♂️ Favourite Quote: Never Give Up.

🤝 I’m looking to collaborate 💞️ on projects to gain experience in Machine Learning & Data Science.

👨‍💻: Stack

🛰️ Connect with me:

vaibhav-sing-bisht vaibhav-sing-bisht aibhav-sing-bisht vaibhav-sing-bisht vaibhav-sing-bisht

vaibhav-sing-bisht bishtvaibhav91@gmail.com

Anyone can also contact me via
vaibhav-sing-bisht +91 7275441361

vaibhav-sing-bisht +91 7355128860

🔧 Job Responsiblities

Skill Technologies worked on
Programming Python, R , C++
DataBase MYSQL, Sqlite
Python for Data Science Python Functions, Data Interpretation
Tools/ IDE PyCharm, Jupyter Notebook
Machine Learning EDA, ML-Algorithms, Execution with python,Support Vector Machine - K Nearest Neighbour - Naive Bayes, Ensemble Techniques, Logistic Regression - Linear Discriminant Analysis
Deep Learning Neural Networks , Computer Vision, Transfer learning, Execution with Python
Natural Language Processing Neural Network , Transfer learning, Execution with Python ,Text Mining Analytics
Advanced Statistics ANOVA, EDA, Descriptive Statistics, Probability, Estimation, Hypothesis Testing, PCA
Data Mining Clustering, CART, Random Forest
Predictive Modeling Linear Regression, Logistic Regression, Linear discriminant Analysis
Data Visualization TABLEAU , PowerBI (Microsoft Certified (Exam DA-100)
Cloud Basic AWS , Azure
Operating System MacOs, Windows
Version control GIT

📔 Skill Elaboration

Skill Technologies used to work or Known
Python Numpy, Pandas,Spark ,Matplotlib, Seaborn, Plotly, Scikit-Learn, pickle, Keras, Open-cv, Tensorflow, Pytorch
Machine Learning Linear Regression, Logistic Regression, Decision Tree, Support vector machine, Naive Bayes, Ensemble technique, Hyper parameter tunning
Deep Learning Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Network
Natural Language Processing Encoder-Decoder, Self Attention, Transformer, Transfer Learning models

📈 GitHub Stats

Vaibhav's GitHub Stats

Popular repositories Loading

  1. Time-Series-Forecasting Time-Series-Forecasting Public

    Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict…

    Jupyter Notebook 3 1

  2. Election-Exit-Poll-Prediction-and-U.S.A-Presidential-Speech-Analysis-using Election-Exit-Poll-Prediction-and-U.S.A-Presidential-Speech-Analysis-using Public

    Course Machine Learning This project is based on 2 case-studies: Vote Prediction and Text Analysis. The first project is to predict which party a citizen is going to vote for on the basis of their …

    Jupyter Notebook 1

  3. Bank-Customer-Segmentation-and-Insurance-Claim-Prediction Bank-Customer-Segmentation-and-Insurance-Claim-Prediction Public

    Course Data Mining The project involved drawing inferences from 2 case studies, namely - Bank Marketing & Insurance. The concepts of Clustering, CART, Random Forest, Artificial Neural Network are u…

    Jupyter Notebook 1

  4. Heart-Disease-Prediction- Heart-Disease-Prediction- Public

    This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers…

    Jupyter Notebook

  5. vaibhav-sing-bisht vaibhav-sing-bisht Public

    Config files for my GitHub profile.

  6. Gems-Holiday-Package-Prediction Gems-Holiday-Package-Prediction Public

    This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction. In the first case study, concepts of linear regression are tested and it is expected from the learne…

    Jupyter Notebook