Tags
Language
Tags
<<
May 2025
Su Mo Tu We Th Fr Sa
27 28 29 30 1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30 31
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz
    1. Home
    2. eBooks & eLearning
    3. Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)

    Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)

    Posted By: ParRus
    Date: 10 Feb 2021 15:52:47
    Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)

    Learn Machine Learning: 10 Projects In Finance & Health Care
    WEBRip | English | MP4 | 1280 x 720 | AVC ~1038 Kbps | 30 fps
    AAC | 128 Kbps | 48.0 KHz | 2 channels | Subs: English (.srt) | ~6.5 hours | 3.81 GB
    Genre: eLearning Video / IT & Software, IT Certification, Machine Learning

    In this course you will build real world data science and machine learning projects of Healthcare industry with python
    What you'll learn
    Building Classification Models
    Building Regression Models
    Working On Various Real World Machine Learning Problems
    Building Machine Learning Models in Health care
    Building Machine Learning Models in Finance

    Requirements
    Basics of Machine Learning
    Healthcare & Finance knowledge is not required

    Description
    Machine Learning is no longer just a niche subfield of computer science but technology giants have been using it for years – Machine learning algorithms power Walmart product recommendations, surge pricing at Uber, fraud detection at top financial institutions, content that Twitter, LinkedIn, Facebook and Instagram display on social media feeds or Google Maps. Machine learning products are being used daily, perhaps without realizing it. The future of machine learning is already here, it’s just that the machine learning career is exploding now because of smart algorithms being used everywhere from email to mobile apps to marketing campaigns. If you are in search of the most in-demand and most-exciting career domains, gearing up yourself with machine learning skills is a good move now.

    In this course, we are going to provide students with knowledge of key aspects of state-of-the-art machine learning techniques. We are going to build 10 projects of the Health Care & Finance industry from scratch using the real-world dataset, here’s a sample of the projects we will be working on:

    Blood Donation Analysis

    Mortality Prediction In ICU Using ANN

    Kyphosis Disease Classification

    Suicide Rate Trend Analysis

    DNA Classification of Humans And Chimpanzee

    NYSE Stock Price Prediction

    RBI Resources Data Analysis

    E-signing of a loan based on financial history

    Prediction Of Default Of Credit Card

    Hybrid Mutual Fund Analysis

    Who this course is for:
    Students who are curious in data science and machine learning

    also You can find my other useful: Machine Learning-posts

    General
    Complete name : 5. Model building.mp4
    Format : MPEG-4
    Format profile : Base Media
    Codec ID : isom (isom/iso2/avc1/mp41)
    File size : 128 MiB
    Duration : 15 min 12 s
    Overall bit rate : 1 174 kb/s
    Writing application : Lavf58.12.100

    Video
    ID : 1
    Format : AVC
    Format/Info : Advanced Video Codec
    Format profile : Main@L3.1
    Format settings : CABAC / 4 Ref Frames
    Format settings, CABAC : Yes
    Format settings, RefFrames : 4 frames
    Codec ID : avc1
    Codec ID/Info : Advanced Video Coding
    Duration : 15 min 12 s
    Bit rate : 1 038 kb/s
    Nominal bit rate : 3 000 kb/s
    Width : 1 280 pixels
    Height : 720 pixels
    Display aspect ratio : 16:9
    Frame rate mode : Constant
    Frame rate : 30.000 FPS
    Color space : YUV
    Chroma subsampling : 4:2:0
    Bit depth : 8 bits
    Scan type : Progressive
    Bits/(Pixel*Frame) : 0.038
    Stream size : 113 MiB (88%)
    Writing library : x264 core 148
    Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=3000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=3000 / vbv_bufsize=6000 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00

    Audio
    ID : 2
    Format : AAC
    Format/Info : Advanced Audio Codec
    Format profile : LC
    Codec ID : mp4a-40-2
    Duration : 15 min 12 s
    Bit rate mode : Constant
    Bit rate : 128 kb/s
    Channel(s) : 2 channels
    Channel positions : Front: L R
    Sampling rate : 48.0 kHz
    Frame rate : 46.875 FPS (1024 SPF)
    Compression mode : Lossy
    Stream size : 13.9 MiB (11%)
    Default : Yes
    Alternate group : 1

    Screenshots

    Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)

    Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)

    Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)

    Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)

    Exclusive eLearning Videos ParRus-blog ← add to bookmarks

    Learn Machine Learning: 10 Projects In Finance & Health Care (12/2020)
    UPWARDS