Help me out with my Machine Learning Project

Question

I am a final year Cse student and I seek experts guidelines on the subject.
I need some guidelines about the domain and a few examples of real world ML projects. Anyone willing to guide me in this? Suggest me some problems as well if possible. Thanks

Answer 1

I would suggest starting from the basics about what machine learning is as a discipline and what are the typical problems that can be solved using machine learning algorithms.
https://www.sololearn.com/learn/714/?ref=app

Real world projects are in abundance and some of them are publicly available for solving (often for real world money, too ;) -- for example at www.kaggle.com
Anyway, start from the basics and if you need any assistance or guidance, write some more inquiries.

For a final project at CS studies I've seen image recognition/computer vision, e-commerce product recommendation systems and chatbots, for example. Seem quite complete as projects and not too exhausting, at least to a 'working' level solution.

Answer 2

from __future__ import print_function, division
from terminaltables import AsciiTable
import numpy as np
import progressbar
from mlfromscratch.utils import batch_iterator
from mlfromscratch.utils.misc import bar_widgets

class NeuralNetwork():
"""Neural Network. Deep Learning base model.
Parameters:
-----------
optimizer: class
The weight optimizer that will be used to tune the weights in order of minimizing
the loss.
loss: class
Loss function used to measure the model's performance. SquareLoss or CrossEntropy.
validation: tuple
A tuple containing validation data and labels (X, y)
"""
def __init__(self, optimizer, loss, validation_data=None):
self.optimizer = optimizer
self.layers = []
self.errors = {"training": [], "validation": []}
self.loss_function = loss()
self.progressbar = progressbar.ProgressBar(widgets=bar_widgets)

self.val_set = None
if validation_data:
X, y = validat