Skip to content
View ajaychouhan-nitbhopal's full-sized avatar
💭
A.I. is a Superpower.
💭
A.I. is a Superpower.

Block or report ajaychouhan-nitbhopal

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Hi there 👋

Hits

“Ask yourself: If what you're working on succeeds beyond your wildest dreams, would you have significantly helped other people? If not, then keep searching for something else to work on. Otherwise you're not living up to your full potential.” ― Prof. Andrew Ng

I strongly believe that one should not limit oneself. We should remember that we can achieve everything we believe. In the Nationwide lockdown, my urge for constant learning leads me to the field of Machine Learning. I developed my interest and skills by learning various ML algorithms and understanding the Mathematics behind it. Further, upgraded my knowledge in Neural Networks by completing Coursera’s Deep Learning Specialization. Now I have completed IBM AI engineering Professional Certification too.

Spending several months into learning Machine Learning & Deep Learning, and practising firmly on ML/DL problems, Now I am looking forward to the job opportunity in this field so I can enhance my experience by utilising my knowledge of this field.

Popular repositories Loading

  1. Titanic-Survival-Machine-Learning-Problem-Solved-with-ANN Titanic-Survival-Machine-Learning-Problem-Solved-with-ANN Public

    Artificial Neural Networks (ANN) is implemented on Titanic dataset by the help of Keras Library.

    Jupyter Notebook 2 1

  2. Exploratory-Data-Analysis-EDA Exploratory-Data-Analysis-EDA Public

    EDA Flow and code and in depth understanding.

    Jupyter Notebook 2

  3. ajaychouhan-nitbhopal ajaychouhan-nitbhopal Public

    1

  4. Car-Detection-by-Training-YOLO-v3-Model-with-Darknet-53-Architecture-and-OpenCV Car-Detection-by-Training-YOLO-v3-Model-with-Darknet-53-Architecture-and-OpenCV Public

    Trained YOLO v3 Deep Neural Network Model with Darknet-53 Architecture on 355 car images dataset. The average loss of 0.34 is achieved after 1222 iterations on Google Colab's GPU. OpenCV is used to…

    Jupyter Notebook 1

  5. Credit-Card-Fraud-Detection-with-XGboost-and-Comparison-b-w-GridSearchCV-and-RandomizedSearchCV Credit-Card-Fraud-Detection-with-XGboost-and-Comparison-b-w-GridSearchCV-and-RandomizedSearchCV Public

    This is a XGboost classifier model for Credit Card Fraud Detection on Anonymized features dataset of 284,807 transactions. Hyperparameters of the models are tuned with GridSearchCV and RandomizedSe…

    Jupyter Notebook 1 1

  6. Data-Warngling-with-Pandas Data-Warngling-with-Pandas Public

    Pandas is one of the most used Python libraries to handle datasets by the Data Science community. So let’s start our journey to use Pandas as our Data Wrangling tool. Fasten your belts, because it …

    Jupyter Notebook 1