Data Science Internship @ OasisInfobytes

Welcome to my Data Science journey! As part of my internship experience, I’ve gained hands-on expertise in a variety of data science tasks. Below is a list of projects I have worked on, each designed to showcase my skills in data analysis, machine learning, and predictive modeling.

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🌸 Task-1: Iris Flower Classification

• Objective: Classify Iris flowers into three species based on measurements like sepal length, sepal width, petal length, and petal width.
• Dataset: Iris.csv
• Notebook: task-1.ipynb

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📊 Task-2: Unemployment Analysis with Python

• Objective: Analyze unemployment trends in India using historical data, visualize key insights, and predict future trends.
• Datasets:
  • Unemployment in India.csv
  • Unemployment_Rate_upto_11_2020.csv
• Notebook: task-2.ipynb

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🚗 Task-3: Car Price Prediction with Machine Learning

• Objective: Build a predictive model to estimate car prices based on various features like make, model, year, mileage, etc.
• Dataset: car data.csv
• Notebook: task-3.ipynb

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📧 Task-4: Email Spam Detection with Machine Learning

• Objective: Develop a model that can classify emails as spam or not spam based on their content.
• Dataset: spam.csv
• Notebook: task-4.ipynb

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💼 Task-5: Sales Prediction using Python

• Objective: Predict sales based on advertising expenditure (TV, radio, and newspaper ads) to optimize marketing strategies.
• Dataset: Advertising.csv
• Notebook: task-5.ipynb

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🧠 Key Skills Gained

• Data Cleaning & Preprocessing: Mastered techniques for handling missing data, outliers, and data transformations.
• Exploratory Data Analysis (EDA): Gained hands-on experience in visualizing datasets and identifying patterns.
• Machine Learning Models: Built classification and regression models using algorithms such as Decision Trees, Random Forests, and Linear Regression.
• Model Evaluation: Learned to evaluate model performance using metrics like accuracy, precision, recall, and RMSE.
• Python Libraries: Gained proficiency in using libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.

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🌱 Ongoing Learning

I am continuously improving my skills in Data Science, Machine Learning, and AI. Stay tuned for more projects that explore new datasets and advanced techniques!

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Feel free to explore the notebooks and datasets for deeper insights. For any questions or collaboration opportunities, please reach out to me!

📧 Contact: [email protected]