As a primary school student, I am thrilled to delve into the world of programming and artificial intelligence.
I believe that this knowledge will be instrumental in shaping the future of technology and creating a more efficient, effective, and equitable world.
I am eager to immerse myself in this exciting and constantly evolving field, and look forward to all the exciting opportunities that await us.
I trained three AI models, KNN, Neural Network, and Convolutional Neural Network models, on around 1500 mouse-written numbers, then using the trained models to predict human mouse-writing numbers in real time and testing out their real life accuracy.
I backtested a well-known investment strategy (moving average strategy) on a few stocks in the tech sector and found out that the strategy does not add much value.
Here I built python codes to compare the performance of binary search to linear search in terms of their respective calculation speed.
I developed a model to recognise handwritten numbers and fashion items. I trained the Python based KNN, neural network (NN), and convolutional neural network (CNN) algorithms on the MNIST and Fashion-MNIST datasets.
Here are some other cool python algorithms:
1. binary_search_recursive.py [binary search implementation using recursive algorithm]
2. quick_sort.py [quick sort algorithm using recursive method]
3. gcd_recursive.py [ calculate the greatest common divisor(GCD) of a number using recursive algorithm]
4. palindrome_number.py [test if the number is a palindrome number]
5. insert_sort.py [insert sort algorithm]
6. selection_sort.py [selection sort algorithm]
7. bubble_sort.py [bubble sort algorithm]
and a lot more cool python algorithms...