Sustenance

Cultivating Futures: Each meal I serve as a Food Assistance Volunteer brings hope and nourishment to underprivileged children. Beyond sustenance, it's a gesture of kindness and a step towards a world where no child goes hungry. Join in this journey of compassion, one meal at a time.

Food Drive

As a committed volunteer, I've had the honor of serving our community, especially on meaningful days like Independence Day. I spearheaded food drives, collecting staples like rice, daals, and aata, and distributed them to needy families in neighboring villages, fostering a shared sense of nourishment and hope in our celebrations.

Plantations

Planting Tomorrow: As an Environmental Conservation Volunteer, I embrace the role of Earth's steward, nurturing the future with each tree planted. Each sapling signifies hope, a step towards ecological restoration and a legacy for the coming generations. Together, we stand as guardians of nature's splendor, weaving our efforts into the tapestry of Earth's well-being.

Food Drive

Sharing Meals, Spreading Hope: As the volunteer in the blue shirt, I've experienced the joy of serving meals and smiles to children in need. Each plate is a blend of kindness and compassion, a belief in a brighter future for every child. Together, let's take steps towards eradicating hunger, one meal at a time.

Food Drive

Sharing Meals, Spreading Hope: As the volunteer in the blue shirt, I've experienced the joy of serving meals and smiles to children in need. Each plate is a blend of kindness and compassion, a belief in a brighter future for every child. Together, let's take steps towards eradicating hunger, one meal at a time.

AlexNet in a Nutshell

AlexNet was trained on ImageNet datasets consists of 1.2 million data(images) which contains 1000 different classes having 60 million parameters and 650000 neurons consist of 5 convolutional layers

LeNet in a nutshell

how LeNet works, Architecture, how to train model using LeNet acchitecture on keras and a also how to design a better model than LeNet using same architecture but with different activation, loss functions etc, and compare the accuracy of new LeNet and original LeNet model.

Principal Component Analysis(PCA) in a Nutshell

With increase in dimensions(like 100’s/features) leads to problems like:

1. Time Complexity increases
2. Difficult to generalize relations
3. All the time all features are not going to contribute
4. Hard to find shape of data

K-means in a Nutshell

The K-means clustering algorithm computes centroids and repeats until the optimal centroid is found. It is presumptively known how many clusters there are. It is also known as the flat clustering algorithm. The number of clusters found from data by the method is denoted by the letter ‘K’ in K-means.

Project Management

A data science project is the most important aspect of a data scientist’s work. It is the culmination of all their work and efforts. The structure for a data science project should be set up in such a way that it can be easily followed by other team members. In this article, we will provide an overview of the process and method Industry follow when working with companies to build custom Data Science projects.