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Gaurav Nair's Projects

chatgpt icon chatgpt

Built a chatbot using OpenAI's GPT 3.5 Turbo and Gradio's conversational interface

diabetes_predictor icon diabetes_predictor

The objective of this model is to predict based on diagnostic measurements whether a patient has diabetes.

flight_data_analysis icon flight_data_analysis

EDA and Feature engineering using Python including its libraries Pandas, Sklearn, Matplotlib and Seaborn. Dashboard using Power BI.

heart-failure-prediction icon heart-failure-prediction

Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository

hiring-model icon hiring-model

The objective of this model is to predict salary of a candidate based on their years of experience, test score and performance in the interview.

knn-from-scratch icon knn-from-scratch

Created a Python program for K Nearest Neighbor Algorithm implementation from scratch. Determined the Euclidean distance between the data points to classify a new data point as per the maximum number of nearest neighbors. Implemented the algorithm on sklearn’s IRIS dataset which achieved an accuracy of 95.56%.

logistic-regression-from-scratch icon logistic-regression-from-scratch

Built logistic regression algorithm from scratch by calculating the probabilities of each class by applying the sigmoid function on the linear equation. Tested the algorithm on breast cancer detection dataset, which achieved an accuracy of 92.98%.

naive-bayes-from-scratch icon naive-bayes-from-scratch

Naïve Bayes algorithm from scratch using Python. Calculated the mean, variance and probability of each class and returned the class with highest probability using the argmax function. Implemented the algorithm on IRIS dataset and attained the accuracy of 95.56%.

netflix-data-analysis icon netflix-data-analysis

Exploratory Data Analysis on Netflix Dataset using Python libraries NumPy, Pandas, Matplotlib, and Seaborn. Built a Power BI dashboard to show the insights.

nlp-techniques icon nlp-techniques

Built a Spam Classifier using different vectorization techniques and algorithms.

perceptron-from-scratch icon perceptron-from-scratch

Brief introduction to the mathematics behind Perceptron and its implementation in Python using Numpy.

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