-evaluation-project-phase-02

advanced-cnn-alexnet_architectures

advanced-house-price-prediction-

agricultural-production-optimization-engine

akarsh_rastogi_data_poem

akarshrastogi20

break-and-continue-related-codes

business-analytics-with-excel

campus-placement-prediction

cerebral-stroke-prediction-

chi-square-test-implementation

courier-price-analysis

customer-churn-prediction-and-analysis

Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library

d-tale-library-for-eda

deep-learning-playlist

def-and-return-related-codes

evaluation-project-phase-01

evaluation-project-phase-03

exception-handling

file

find-optimal-threshold-for-binary-classification-

for-loop-related-codes

general-python-code

handle-imbalanced-dataset-undersampling-over-sampling-hyper-parameter-optimization

house-price-prediction

hyperparameter-optimization

imdb-dataset-capstone-project

interview-coding

k-nearest-neighbour

lane-lines-detection-using-python-and-opencv

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.