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nishantdalvi05/README.md

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Hi 👋, I'm Nishant Dalvi

A aspiring Data analyst and Data scientist from India



  • 🔭 I’m currently working as - Associate Data Analyst at HDFC Bank

  • 🌱 I’m currently learning - Deep Learning, NLP

  • 👨‍💻 All of my projects are available at - https://github.com/nishantdalvi05

  • 💬 Query me on - Excel, Power BI, Tableau, SQL, Machine Learning

  • 📫 Connect me through Mail - nishantdalvi2312@gmail.com

Connect with me:

nishantdalvi

Languages and Tools:

excel powerbi powerbi mysql pandas postgresql python scikit_learn seaborn

Projects:

Hourly Energy Consumption Forecast

Classification of Myocardial Infraction

Resume Classification



nishantdalvi05

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  1. Forecasting Forecasting Public

    Forecasting is a technique that uses historical data as inputs to make informed estimates that are predictive in determining the direction of future trends. Businesses utilize forecasting to determ…

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  2. My-first-Model My-first-Model Public

    My first basic model of simple linear regression in python language with the platform of jupyter notebook.

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  3. Simple-linear-regression-Models Simple-linear-regression-Models Public

    Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent variables. It is most…

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  4. Hypothesis-Testing Hypothesis-Testing Public

    The process of hypothesis testing is to draw inferences or some conclusion about the overall population or data by conducting some statistical tests on a sample. The same inferences are drawn for d…

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  5. Multi-Linear-Regression- Multi-Linear-Regression- Public

    Multiple linear regression is a statistical technique that uses multiple linear regression to model more complex relationships between two or more independent variables and one dependent variable. …

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  6. Logistic-Regression Logistic-Regression Public

    Logistic regression is a statistical method that is used for building machine learning models where the dependent variable is dichotomous: i.e. binary. Logistic regression is used to describe data …

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