Udemy - Credit Risk Modeling in Python 2021 (01/2021)
Udemy - Credit Risk Modeling in Python 2021
WEBRip | English | MP4 + PDF Guides | 1280 x 720 | AVC ~732 Kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~7 hours | 3.15 GB
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~7 hours | 3.15 GB
Genre: eLearning Video / Business, Business Analytics & Intelligence, Credit Analysis
A complete data science case study: preprocessing, modeling, model validation and maintenance in PythonWhat you'll learn
Pass your ASQ® Certified Six Sigma Yellow Belt (CSSYB®) exam with super confidence
This course is fully aligned with the Body of Knowledge provided by ASQ® for Certified Six Sigma Yellow (CSSYB®) Belt professionals
Note: We are not a representative of ASQ®. ASQ® is the registered trademark of the American Society for Quality.
Start your Six Sigma journey with a strong foundation
Become a confident member of Six Sigma team in your organization
Requirements
Preferably you should have completed the Six Sigma White Belt
Description
This course is fully aligned with the Body of Knowledge provided by ASQ® for the CSSYB exam.
Note: We are not a representative of ASQ®. ASQ® is the registered trademark of the American Society for Quality.
Are you new to Six Sigma and failed to understand the basics of Six Sigma?
Are you planning to go for Six Sigma Green Belt or Black Belt, but want to start with basic concepts in simple and plain terms?
Are you a manager and want to implement the concepts of Six Sigma in your work area?
Reading Wikipedia pages and watching YouTube did not help you to understand what is Six Sigma and how can you use it in your work area.
Your organization does not want to spend money on this.
This course would be your first step to the wonderful world of Six Sigma. After completing this course you would be confidently able to support Six Sigma initiatives as a team member.
Comprehensive Six Sigma Yellow Belt course - Aligned with the Body Of Knowledge provided by ASQ® for CSSYB exam
No need to pay $1000 or more.
No need to take days off from your work.
Certificate of Completion provided.
Satisfaction Guaranteed. Get your money back in 30 days if you are not satisfied. No Questions Asked! There is no reason to delay because I am taking all the risks. There is no risk to you.
You will learn the Six Sigma improvement skills through short and easy to understand video lessons and quizzes. A discussion forum on the right side of this course would be used to discussed specific problems and issues.
OVER 16,000 HIGHLY SATISFIED STUDENTS HAVE ALREADY TAKEN THIS COURSE.
Who this course is for:
This course will help you in improving your problem solving skills.
If you support the improvement team in data collection, problem identification or any other way, this course is for you.
also You can find my other useful: Business-posts
General
Complete name : 3. Preprocessing few continuous variables.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 83.7 MiB
Duration : 13 min 28 s
Overall bit rate : 868 kb/s
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Video
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Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 13 min 28 s
Bit rate : 732 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
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Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 13 min 28 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 12.3 MiB (15%)
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Alternate group : 1
Complete name : 3. Preprocessing few continuous variables.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 83.7 MiB
Duration : 13 min 28 s
Overall bit rate : 868 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
Format settings, GOP : M=4, N=60
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 13 min 28 s
Bit rate : 732 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) : 0.026
Stream size : 70.5 MiB (84%)
Writing library : x264 core 148
Encoding settings : cabac=1 / ref=3 / deblock=1:-1:-1 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.15 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-3 / 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 : 13 min 28 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 12.3 MiB (15%)
Default : Yes
Alternate group : 1
Screenshots
Udemy - Credit Risk Modeling in Python 2021 (01/2021)
Udemy - Credit Risk Modeling in Python 2021 (01/2021)
Udemy - Credit Risk Modeling in Python 2021 (01/2021)
Udemy - Credit Risk Modeling in Python 2021 (01/2021)
Udemy - Credit Risk Modeling in Python 2021 (01/2021)
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Udemy - Credit Risk Modeling in Python 2021 (01/2021)
