htnminh

Project 2 Topic: Machine learning approaches for loan demand prediction

DATA CONFIDENTIALITY AGREEMENT

DUE TO VIETTEL MILITARY INDUSTRY AND TELECOMS GROUP REGULATIONS, THE DATA COLLECTED FOR THIS PROJECT MUST BE KEPT STRICTLY PRIVATE AND CONFIDENTIAL. HOWEVER, PARTICIPANTS OF THIS PROJECT, INCLUDING BUT NOT LIMITED TO THE STUDENTS WORKING ON THE PROJECT, MENTORS, AND INSTRUCTORS, ARE ALLOWED TO USE THE DATA FOR THE PURPOSES OF THIS PROJECT ONLY AND MUST REFRAIN FROM SHARING ANY OF THE DATA WITH THIRD PARTIES WITHOUT PRIOR CONSENT FROM THE COMPANY.

htnminh

import pprint
import pandas as pd

PATH_TO_CSV = r"C:\Users\nhatm\OneDrive - Hanoi University of Science and Technology\Desktop\groceries.csv"
MIN_SUPPORT = 12


def get_frequent_itemsets(transactions, min_support):
    # Count the occurrence of each item
    item_counts = {}

htnminh

Hoàng Trần Nhật Minh

Email: nhatminh2106@gmail.com

Most recent projects

Field	Project name	Link
Reinforcement Learning	An AlphaZero Implementation of Ultimate Tic-Tac-Toe (with GUI)	https://github.com/htnminh/AlphaZero-Ultimate-TicTacToe
Computer Vision	Single-frame Infrared Small Target (SIRST) Detection	https://github.com/minhngt62/dl-sirst
Natural Language Processing	Sensitive Content Detection	https://github.com/baochi0212/data-science-e10

htnminh

/* FIXED SYNTAX ERRORS */
use hrdb;

go
create function fullname(@fn varchar(20), @ln varchar(25))
returns varchar(50) as
begin
  return @fn + ' ' + @ln;
end;
go

htnminh

173d81efb66529e8b6bef9bd4baec8affb6bf395d60d732bb2b9dee1c3d3bb61843ecf3fe1c673f568700a9da726cb9e2d196cfb6fa304abf21844f0bcdd6f0075262a8bdee33b4a74b717a5525a551d3d8c1c91ec5a26f1d7910f61a2009bc8dc12c450b4d5dcbff08eae9f7f337823de56411b9ae3018ccfe3b92f370a4df84cf710dbf3f587208c22cf8b9523d70ef7a8036bc827287a53248eb66287fbdb97253963220c873bfcb58621fc4080bdfebfb5e282cf77ab41b530d307653253e1c3987b933d6651bc325bbaa47bbff0218ee0a3c8fdda8b8f5bcb90dbbe8a89724c7cfe8e275ccbff7df22553b4fa67c59a888f3dbbab1b802d2b6369e498dd2ab61d19fd5261aefcd61d87231298201173f3459fcd2fbdc3be092a409136f77b5884455661930c38a5a86f23615f82480ba9c163f5aa7d3ee60f9f405c2c8a399293fb8b1f9a65e61023e62a5422510f742ef5ccbda7c103d3be5cdb60125e639b1f43d0c0496a9812ccfead41ea85c66fa5c8bf94ad0ab532babdd3c9fcda49fc1f70002261ebc634eb2a75f7b9c7c586b2d78cd18ca8c48ef2fa95d40e67ec0be95992f1c0a3fcc228acf609b89d253ba440508477851af4dbf351a0c6f6eceb259bd63980f4bfb36cd56146c9eb18018cef563a3677b2b2e3c6fa23e174d671bbbe515709a0ff1016582ca643913eb1716e7b8c28a6177757c1cccb671d

htnminh

thu 3

• phuc: add time-limit, choose 2 algos (t3)
• phuc, nam: clean up code (t3)

thu 4

• minh: analyze algo (t4)

thu 5

• tan: write report phan tich..., gioi thieu thuat toan, ket luan gi gi day... (t5)
• phong, nam | phuc, tan: viet ve thuat toan da lam (thuc hien thuat toan) (t5)

htnminh

from ortools.sat.python import cp_model
from copy import deepcopy


class VarArraySolutionPrinter(cp_model.CpSolverSolutionCallback):
    """Print intermediate solutions."""

    def __init__(self, variables):
        cp_model.CpSolverSolutionCallback.__init__(self)
        self.__variables = variables

htnminh

from ortools.sat.python import cp_model
import numpy as np
import random as rd


class VarArraySolutionPrinter(cp_model.CpSolverSolutionCallback):
    #print intermediate solution
    def __init__(self,variables):
        cp_model.CpSolverSolutionCallback.__init__(self)
        self.__variables = variables

htnminh

class Permutation():
    def __init__(self, n):
        self.n = n
        self.a = [None] + [i for i in range(1, self.n+1)]

    def __str__(self):
        return ''.join([str(x) for x in self.a[1:]])

    def final(self):
        return self.a == [None] + [i for i in range(self.n, 0, -1)]

htnminh

class Subset():
    def __init__(self, n, m):
        self.n = n
        self.m = m
        self.a = [None] + [i for i in range(1, m+1)]

    def __str__(self):
        return ''.join([str(x) for x in self.a[1:]])

    def final(self):