Hi,
As per your requirements, I will implement deep learning algorithm based CNN and LSTM to detect changes between two images. It will be helpful if you provide the complete dataset and elaborate your requirements.
I have strong data skills, analysis skills, strong knowledge of statistics and ability to program algorithms. Also worked on projects mentioned below:
Other Projects :-
Course Suggesting Chatbot |RASA NLU,SPACY,BOTKIN, NLTK, Pandas
This project is being developed as a course suggesting assistant for the training and education wing of CETPA. It asks for certain questions regarding educational background, interests, time etc. and suggest certain choices based on the knowledge acquired in an interactive manner.
CHURN PREDICTION ON TELECOM DATASET | SCIKIT-LEARN, FLASK, PANDAS, Numpy
Automobile Data Analytics | R, GGPLOT2, Shiny, R-studio
The dataset was analyzed using EDA and several potential relationships between automobile characteristics
were identified and a predictive model to classify pricing into two categories was created using Regression.
Matplotlib
Telecom dataset used to predict churning was first wrangled using Pandas and then different sci-kit-learn models were applied on the refined dataset .K-fold cross-validation was used to suggest the best performing model. Confusion matrix with and without normalization was also generated. Web-application using Flask is used to deploy the model in real-time.
Regards
Yuvraj Kakkar