Data Scientist Intern with hands-on experience in supervised learning models, exploratory data analysis, data visualization, and natural language processing. Experience includes implementing machine learning models such …
Data Scientist Intern with hands-on experience in supervised learning models, exploratory data analysis, data visualization, and natural language processing. Experience includes implementing machine learning models such as Support Vector Machines, Logistic Regression, Linear Regression, Naive Bayes, Random Forest, KNN, and Decision Tree, along with using Python, Pandas, NumPy, Seaborn, Matplotlib, Power BI, and MySQL.
<p>Executed supervised learning models including Support Vector Machines (SVM), Logistic Regression, Linear Regression, and Naive Bayes Algorithm (MultinomialNB).<br>
Conducted exploratory data analysis (EDA) to extract meaningful insights for data-driven decision-making.<br>
Leveraged Seaborn for data visualization to communicate complex data patterns and insights.<br>
Applied natural language processing (NLP) techniques including CountVectorizer, PorterStemmer, and stopwords.<br>
Implemented Logistic Regression and Linear Regression models.<br>
Executed the Multinomial Naive Bayes algorithm.</p>
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