Vaibhav Singh Bisht vaibhav-sing-bisht

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Lucknow
@vaibhav271

vaibhav-sing-bisht/README.md

Hello there! My name is Vaibhav

👀 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:

bishtvaibhav91@gmail.com

Anyone can also contact me via
+91 7275441361

+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

Popular repositoriesLoading

Time-Series-ForecastingTime-Series-ForecastingPublic
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…
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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 …
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Bank-Customer-Segmentation-and-Insurance-Claim-PredictionBank-Customer-Segmentation-and-Insurance-Claim-PredictionPublic
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…
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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…
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vaibhav-sing-bishtvaibhav-sing-bishtPublic
Config files for my GitHub profile.
Gems-Holiday-Package-PredictionGems-Holiday-Package-PredictionPublic
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…
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